Call for Special Sessions
ICIRA 2019 organizing committee is calling for the special session proposals. We encourage the attendees to organize and attract papers on the specific topic of proposed special sessions related to the scope of this conference. A special session has to contain at least 4 papers. Prospective organizers are invited to contact the secretariat or the special session chair to propose tracks with the name of the session, the scope and organizers' names.
The special session papers should be submitted through the Springer online review system following the same process of regular session papers. All the papers submitted to special sessions will be reviewed under the same criteria for regular sessions.
If you are interested in organizing a special session, please fill in the Special Session Proposal and forward the application to
Currently, the accepted 44 special sessions are listed as follow.
Special Session 1:
Development of high-precision robots to automate biology research
The goal of biology research targeted robots is to reduce the repetition of human labor by incorporating robotics and automation. The development of the high-precision robots will substantially contribute to advancing the drug discovery and sample generation. Expertise in biology, automation, robotics and software engineering is needed to set new standards for the way biological research is done. By appropriate design, robotic systems will be capable of conducting experiments from fundamental ones like liquid-handling and pipetting tasks to advanced ones with simultaneous parameter exploration and in-vivo biological sample measurement Papers are welcome to cover extensive fields from automated phenotyping to robots with high-throughput screening.
Dr. Luhong Wang, Harvard University, USA, email@example.com
Special Session 2:
Robot vision and scene understanding
Robot vision is a topic for processing high-dimensional data from the robot environment in order to produce numerical or symbolic information. A theme in the development of this field has been to duplicate the abilities of human vision by understanding images. This scene understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. Applications range from tasks such as industrial vision systems to research into artificial intelligence and computers or robots that can comprehend the world around them. Robot vision covers the core technology of automated image analysis which is used in many fields. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a scanner. The session is intended to offer a forum for people interested in modeling methods of vision computation and applications. In particular, the subjects include but are not limited to:
* Data acquisitions and representations
* Modeling of objects or environments, including medical image analysis
* Shape and motion
* Vision systems
* Vision based navigation
* Event detection
* Vision based Interaction
* Automatic inspection
* Scene reconstruction
* Object recognition
* Learning from vision
* Related applications
Prof. Honghai Liu, University of Portsmouth, UK. firstname.lastname@example.org
Special Session 3:
Unmanned underwater vehicles
The aim of this session is to provide an international forum that brings together those actively in unmanned underwater vehicles to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, to foresee the future perspective and to exchange ideas and advances in all aspects of unmanned underwater vehicle including but not limited to path planning, tracking control, multi-AUV systems, artificial intelligence in UUV system. All contributions covering either theoretical development or practical applications are welcome.
Prof. Daqi Zhu, Shanghai Maritime University, China, email@example.com
Prof. Xianbo Xiang, Huazhong University of Science and Technology, China, firstname.lastname@example.org
Special Session 4:
Brain mapping driven robot control
Brain mapping can be conceived as a higher form of neuroimaging, producing brain images supplemented by the result of additional (imaging or non-imaging) data processing or analysis, such as maps projecting (measures of) behavior onto brain regions. The activity of brain signals forms a natural and intuitive interface between human and robotic executors. The multidisciplinary subject involves brain science, machine learning, robotics, control and human-robot interaction, and remains challenging to accommodate the clinical, real-time, intuitive, responsive requirements. Despite the difficulty in the retrieval of clinically reliable commands, the cognitive burden of users will be largely reduced in the control of robotics if the brain based interface is adopted. The target topics of papers for this session include the brain science inspired robot control, brain-machine interface design, physiological signal capturing and processing, and the reduction cognitive burden in BCI.
Dr. Xixi Wang, University of Rochester , USA, email@example.com
Dr. Dalin Zhou, University of Portsmouth, UK, firstname.lastname@example.org
Special Session 5:
Robotic technology for deep space exploration
Robotic technology has played a key role in deep space exploration. Space robots are more capable of withstanding extreme hazardous environmental effects including vacuum, temperature and radiation over human counterparts during long-duration missions beyond Earth. Moreover, space robots can be applied for setting up space facilities and equipment or conducting science missions ahead of human exploration. The purpose of this session is to bring together experts, scientists and engineers throughout the world to present and share their recent research results and innovative ideas related to space robotic technology for deep space exploration. The topics of the paper include but are not limited to: robot mechanism design, motion control, modelling and simulation of the multi-body system, multi‐sensor data fusion, navigation and localization.
Dr. Yaobing Wang, Beijing Key Laboratory of Intelligent Space Robotic System Technology and Applications, Beijing Institute of Spacecraft System Engineering, China, email@example.com
Dr. Lei Chen, Beijing Key Laboratory of Intelligent Space Robotic System Technology and Applications, Beijing Institute of Spacecraft System Engineering, China, firstname.lastname@example.org
Special Session 6:
Wearable sensing based limb motor function rehabilitation
For prosthesis and other upper-limb assistive device users, wearability, good intuitiveness, high success rate, low latency and limited adaptation cost of the devices are the prior properties to be fulfilled. In details, the premise of an ideal control is crafted by the accurate recognition of users' intention, the imperceptible delay between the execution of the mechanical extremity and the employment of users' residual limb, and their consistent feasibility for long-term use. Myoelectric, ultrasonic and other wearable modalities have been widely adopted for the motor intention decoding. Despite the prevalent application in prostheses and exoskeletons in the recent decade, a satisfactory solution is still missing to fully accommodate the rehabilitation of limb motor function. All papers covering the physiological sensing, motion intention recognition and assistive device based motion execution are welcome.
Dr. Yinfeng Fang, Hangzhou Dianzi University, China, email@example.com
Prof.Gongfa Li，Wuhan University of Science and Technology，China，firstname.lastname@example.org
Special Session 7:
Development of ultra-thin-film, flexible sensors, and tactile sensation
The development of high-performance sensors has attracted considerable attention in academia. The critical issue faced by the developers resides in the incompatibility between the functionality of a sensor and simple fabrication strategies. The excellence of both chemical and physical properties contributes to the feasibility of sensors of high performance and requires efforts towards mobility and stability. This special session features the development of ultra-thin-film and flexible sensors for a more advanced sensory platform. The practical part is simultaneously addressed with the case study of tactile sensation. All papers covering the fabrication of thin-film fabrication, flexible sensor design and tactile sensation development are welcome.
Prof. Jianhua Zhang, Shanghai University, China, email@example.com
Prof. Honghai Liu, Shanghai Jiao Tong University, China, firstname.lastname@example.org
Special Session 8:
Robot perception and understanding for unknown dynamic environment
The intelligent robot has played more and more role in all kinds of fields like a human being. It is very important for robot perception and understanding by using different kinds of sensors in an unknown dynamic environment before a decision is given or action is done for the robot itself. For example, some tasks, such as environment modelling, localization and path planning for mobile robot also fully depends on the result of perception and understanding. The purpose of this session is to bring together experts, scientists and engineers throughout the world to present and share their recent research results and innovative ideas related to Robot perception and understanding for an unknown dynamic environment. The topics of the paper include, but are not limited to: robot perception, scene understanding, multi‐sensor data fusion, navigation and localization.
Prof. Rongxin Cui, Northwestern Polytechnical University, China, email@example.com
Dr. Xinde Li, Southeast University, China, .cn
Special Session 9:
Computational intelligence inspired robot navigation and SLAM
Modern robotic technologies have enabled robots to operate in a variety of unstructured and dynamically-changing environments. Thus, robots playing an important role in our daily lives. One of the key approach to develop such intelligent and autonomous robots is to draw inspiration from computational intelligence systems. It is important for robots to understand sensory information received from multiple sensors before a decision or action is performed. Accordingly, it is an important mission to develop algorithms to incorporate environment modeling, localization, and path planning approaches for developing autonomous robots. This special issues invites original papers of innovative ideas and concepts relevant to the robot perception and understanding in unknown dynamic environments. The topics of paper include, but are not limited to Robot perception, Scene understanding, Multi-sensor data fusion, Navigation and localization.
Prof. Naoyuki Kubota, Tokyo Metropolitan University, Japan, firstname.lastname@example.org
Dr. Yuichiro Toda, Okayama University, Japan, email@example.com
Dr. Weihong Chin, Tokyo Metropolitan University, Japan, firstname.lastname@example.org
Dr. Jin Seok Woo, Tokyo University of Technology, Japan, email@example.com
Special Session 10:
Robot enhanced therapy for children with autism spectrum disorders
For some children with autism spectrum disorders (ASD), the interaction with robots is preferred instead of other people. The children's focus can be hardly concentrated on the human-human interaction to polish their social skills solely under the guidance of therapists. A humanoid robot can act as a friendly companion which allows the therapists to contribute to more efficient ASD diagnosis and intervention. It's critical and timely to investigate the effects of robot-child interaction from both perspectives of robot-based sensing and interaction, and the children's behaviour. This session aims to attract papers on the development of novel robot-enhanced therapy for children with ASD including multi-modal interaction technology, children behaviour analysis, autonomous feature development for the humanoid robot and quantitative measurement on social skill through robotics.
Prof. Jing Li, Nanchang University, China, firstname.lastname@example.org
Dr. Gaoxiang Ouyang, Beijing Normal University, China, email@example.com
Special Session 11:
Fuzzy Modelling for automation, control, and robotics
Control is one of the most successful application areas of fuzzy systems, and indeed fuzzy modelling has been widely applied in many real-world cases of automation, control, and robotics. Compared to other computational intelligence approaches, fuzzy inference is well known for its transparency, comprehensibility, and interpretability, as well as its high uncertainty management and processing ability when fuzzy logic is integrated to other modelling approaches. This special session is intended to bring together researchers, developers, and industry professionals to discuss recent advances and experiences in fuzzy systems, fuzzy modelling, fuzzy inference, the integration of fuzzy logic to other approaches, and their applications in control, robotics and automation. The topics of the interest include, but are not limited to fuzzy approaches, integrated fuzzy approaches (such as fuzzy logic and (deep) neural networks, or fuzzy logic and SVM), and the applications of such approaches for automation, control and robotics especially under uncertain environment.
Dr. Longzhi Yang, Northumbria University, UK, firstname.lastname@example.org
Dr. Chengyuan Chen, Chongqing University of Science and Technology, China, email@example.com
Dr. Yanpeng Qu, Dalian Maritime University, China, firstname.lastname@example.org
Dr. Tianhua Chen, University of Huddersfield, UK, T.Chen@hud.ac.uk
Special Session 12:
Swarm intelligence and multi-robot cooperation
Swarm intelligence is a cutting-edge direction of artificial intelligence, and the research on multi-robot cooperation has become a hot research topic. Compared with single-robot systems, multi-robot systems (MRS) have the advantages of robustness, parallelism and distribution, which can also improve the task performance by cooperation. The purpose of this session is to bring together experts, scientists and engineers throughout the world to present and share their recent research results and innovative ideas related to swarm intelligence and multi-robot cooperation. The topics of paper include, but are not limited to: cooperative/collective learning, operating systems and cloud technology for MRS, bio-inspired MRS and swarm intelligence/robotics, motion and path planning, modeling and control, distributed perception and estimation, applications of MRS.
Prof. Xiaodong Yi, Artificial Intelligence Research Center (AIRC), National Innovation Institute of Defense Technology (NIIDT), China, email@example.com
Prof. Haitao Zhang, Huazhong University of Science and Technology, China, firstname.lastname@example.org
Dr. Yunlong Wu, Artificial Intelligence Research Center (AIRC), National Innovation Institute of Defense Technology (NIIDT), China, email@example.com
Special Session 13:
Swarm intelligence unmanned system
A Swarm Intelligence Unmanned System (SIUS) is an open-architecture-based integration of a large number of unmanned platforms, such as Unmanned Aerial Vehicles (UAVs), Unmanned Ground Vehicles (UGVs), Unmanned Surface Vehicles (USVs), Unmanned Underwater Vehicles (UUVs) and robots. A SIUS is established on the basis of swarm intelligence emergence, platform interactions, and individual autonomous intelligence. Key functions the SIUS offers, ranging from network-based communication, autonomous navigation, smart decision-making, to cooperative control, can be used in critical missions of anti-terrorism rescue, emergency support, and military operation, among others. The purpose of this session is to bring together experts, scientists and engineers throughout the world to present and share their recent research results and innovative ideas related to Swarm Intelligence Unmanned System (SIUS). The topics of paper include, but are not limited to: intelligent unmanned platforms, network-based communication, autonomous navigation, smart decision-making methods and cooperative control. All contributions covering either theoretical development or practical applications are welcome.
Dr. Qi Dong, China Academy of Electronics and Information Technology, China, firstname.lastname@example.org
Dr. Feifei Gao, Tsinghua University, China, email@example.com
Special Session 14:
Collaboration is the key characteristic of the future robots, which are competent at diverse range of tasks through close interactions with environment, their human counterparts and robot peers. Technologies like Environmental perception, intention understanding and control technology play an important role in human robot collaboration.
The purpose of this session is to provide an international forum that brings together those actively involved in environmental perception, intention understanding, learning and control of collaborative robot, to report on up-to-the- minute innovations and developments, to summarize the state-of-the-art, to foresee the future perspective, and to exchange ideas and advances in all aspects of environmental perception, intention understanding, learning and control of collaborative robot. All contributions covering either theoretical development or practical applications are welcome. The topics of paper include, but are not limited to : robot perception, intention understanding, robot learning, control, and human- robot collaboration.
Dr. Xuguang Lan, Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, China, firstname.lastname@example.org
Dr. Fei Zhao, Institute of Robotics & Intelligent Systems, Xi’an Jiaotong University, China, email@example.com
Special Session 15:
Parallel robots are closed-loop mechanisms presenting very good performances in terms of accuracy, velocity, rigidity and ability to manipulate large loads. They have been used in a large number of applications ranging from astronomy to flight simulators and are becoming increasingly popular in the field of machine-tool industry. The purpose of this session is to bring together experts, scientists and engineers throughout the world to present and share their recent research results and innovative ideas related to parallel robotics. As the section organizers of Parallel Robotics, we kindly invite you and your colleagues to attend the conference and share your recent research with others in this section. The topics of interest include but are not limited to: Mobility analysis, Type Synthesis, Conceptual Design, Kinematics and Statics, Dynamics, Optimization, Trajectory Planning, Control, and Industrial applications of parallel robots.
Prof. Haitao Liu, School of Mechanical Engineering, Tianjin University, China, firstname.lastname@example.org
Prof. Huafeng Ding, School of Mechanical Engineering and Electronic Information, China University of Geosciences, China, email@example.com
Special Session 16:
Autonomous control of unmanned aircraft systems
This session aims at promoting the development of the autonomous control technique in Unmanned Aircraft Systems (UAS). Autonomy is a key feature for UAS, however, autonomy doesn’t mean no human in UAS. Autonomy can be regarded as a joint cognition capability that unmanned aircrafts and human/operators. So, in this session, topics of interest include, but are not limited to:
(1) Autonomy; (2) Environment perception; (3) Situation awareness; (4) Sense and avoid; (5) Autonomous location; (6) Autonomous flight control; (7) Behavior decision making; (8) Mission/Path/Sensor/Payload Planning; (9) Cooperative/Formation control (10) Interoperability; (11) Manned-unmanned teaming; (12) Airspace Management
Dr. Yifeng Niu, National University of Defense Technology, China, firstname.lastname@example.org
Dr. Yirui Cong, National University of Defense Technology, China, email@example.com
Special Session 17:
Sensing and actuation for soft robotics
Soft robotics has received an increasing attention due to their unprecedented adaptation, sensitivity and agility. In contrast to hard-bodied robots, soft robotics has several advantages of substantial bending, twisting and stretching, adaptability to wearable devices, continuous deformation. The key challenge for creating soft robotics that achieve their full potential is to integrate sensors, actuators and computation within soft bodies. The purpose of this session is to bring together experts, scientists and engineers throughout the world to present and share their recent research results related to sensing and actuation for soft robotics. The topics of paper include, but are not limited to: soft actuators and sensors, soft material creation and characterization, design and fabrication of conformable machines, micro/millimeter soft actuators, bio-inspired soft actuators, control of soft actuators.
Dr. Hao Wu, State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, China, firstname.lastname@example.org
Dr. Hongqiang Wang, Department of Mechanical and Energy Engineering, Southern University of of Science and Technology, China, email@example.com
Special Session 18:
Intelligent robots for environment detection or fine manipulation
Withtherapid development of robotics, intelligent robots can not only work in factories with specific tasks, but also be used for detection or fine manipulation in extremely dynamic and uncertain environments. In order to meet the specific requirement of detection, locomotion and manipulation, many bionic robots are further designed, more than imitating nature, but also learning strategy from it. For example, the robotic bird can be used for environment detection, search and rescue; the flexible robot can replace human for certain dangerous operations in nuclear power plants, and carry out equipment assembly, inspection, maintenance, and other fine operations. However, there still exist many problems in autonomous navigation, collision-avoidance trajectory planning and intelligent decision-making. The purpose of this session is to share novel ideas and theories in sensing, planning and control of intelligent robots, promote experimental and theoretical researches for environment detections and fine manipulations. All contributions including but not limited to bionic mechanism design, bio-inspired algorithm, autonomous navigation, motion planning and control methods for intelligent robots are welcome.
Dr. Wenfu Xu, Harbin Institute of Technology, Shenzhen, China, firstname.lastname@example.org
Dr. Han Yuan, Harbin Institute of Technology, Shenzhen, China, email@example.com
Special Session 19:
Continuum mechanisms and robots
Inspired by octopus and elephant trunks, continuum mechanisms and robots have invertebrate, elastic structures, and are capable of changing their shapes to adapt to the unstructured environment. However, in comparison with conventional rigid mechanisms, the elastic structures reduce the loading capability and increase the complexity of shape modeling and close-loop control, which limit their applications. The aim of this session is to call on international experts and scholars in this field to share their frontier ideas and the latest results. The topics of the session include but are not limited to: the design, modeling and control of continuum robots, hyper-redundant robots, snake-like robots, variable stiffness mechanisms, compliant and bio-inspired actuation mechanisms.
Dr. Rongjie Kang, Tianjin University, China, firstname.lastname@example.org
Prof. Ian Walker, Clemson University, USA, email@example.com
Special Session 20:
Medical imaging for biomedical robotics
Recent advances in artificial intelligence, deep learning, digital image processing and medical imaging techniques present new opportunities to build intelligent decision support systems and tools. To understand the disease cause, automate the disease diagnostic process, increase the accuracy of disease detection and optimise treatment to aid the patient's recovery, it is necessary to discover new knowledge of medical imaging techniques. This special session is targeted for researchers who are active in the field and wish to demonstrate their work in medical imaging and novel biomedical robotics applications. We invite submission of high quality papers as related to the recent advances in medical imaging and biomedical robotics. Potential topics include, but are not limited to: • Medical imaging • Machine learning and artificial intelligence • Applications of medical imaging • Biomedical robotics applications
Dr. Dongxu Gao, University of Liverpool, UK, firstname.lastname@example.org
Dr. Yalin Zheng, University of Liverpool, UK, email@example.com
Special Session 21:
Robot intelligence technologies and system integration
The session focuses on the integration systems for robot in real environments to stimulate a discussion on the future research directions in these fields. Recently, various types of intelligent robots have been developed for the society of the next generation. Such robots integrate various information including internal and external sensors. Furthermore, a robot can be defined as intelligent that can be applied in real environments. Computational intelligence techniques, such as fuzzy, neural, and evolutionary computation play important role to realize intelligent robots from the methodological point of view. In this session, we will discuss the state-of-the-art of methodology for robotics intelligence and system integration technologies in the real environments in terms of various applications.
Dr. Yuichiro Toda, Okayama University, Japan, firstname.lastname@example.org
Dr. Xiang Li, Okayama University, Japan, email@example.com
Special Session 22:
Marine Bio-inspired robotics and soft robotics: materials, mechanisms, modelling, and control
Underwater bio-robotics have been successfully used as a scientific tool to reveal mechanisms of swimming hydrodynamics, locomotion on the water surface, or transitions from water to air/land, and grasping & adhesion in wet or fully submerged aquatic environments. As a successful continuation of the bio-robotics, the emerging research area of soft robotics, along with its state-of-the-art smart materials and fabrication techniques, may promise new contributions for exploring important scientific questions in the area of aquatic biomechanics; such as mechanosensation, hydrodynamic effects of small-scale morphological features, and morphing behaviors in different flow regime, during locomotion. This seminar aims to bring together scientists from multi-dispensary fields, to discuss how bio-robotics and soft robotics can be maximally applied to test new hypotheses about the mechanisms of biomimetic aquatic locomotion. Biomechanical principles learned may inspire new biomimetic designs, biomaterials, novel mechanisms, machine learning based modeling, and control will be helpful for synthesizing future robotic prototypes that can perform tasks such as swimming across the coral reef, removing the underwater pollutes on the coast, collecting marine biological samples, etc.
Dr. Li Wen, Beihang University, China, firstname.lastname@example.org
Prof. Junzhi Yu, Peking University, China, email@example.com
Dr. Tiefeng Li, Zhejiang University, China, firstname.lastname@example.org
Special Session 23:
Teleoperation robot could help human being to extend their cognitive and behavioral capabilities in the remote environment where human is difficult or dangerous to access, and has broad application prospects in nuclear power plants, space exploration, medical industry, live working and other fields. Time delay is almost inevitable during the master-slave control system, and it is challenging to improve the performance together with the stability and transparency of teleoperation control system under time delay. The purpose of this session is to bring together experts, scientists and engineers throughout the world to present and share their recent research results and innovative ideas related to teleoperation robot. All contributions covering either theoretical development or practical applications are welcome. The topics of the paper include, but are not limited to: Teleoperation System, Bilateral Control, Force Feedback, Human Machine Interaction, Haptics and Medical Robot.
Prof. Pengwen Xiong, Nanchang University, China, email@example.com
Special Session 24:
Soft locomotion robot
Soft Robotics is the specific sub-field of robotics dealing with constructing robots from highly compliant materials. In contrast to robots built from rigid materials, soft robots allow for increased flexibility and adaptability for accomplishing tasks, as well as improved safety when working around humans. These characteristics allow for its potential use in the fields of medicine and manufacturing.
The aim of this session is to provide an cutting-edge forum that brings together those actively involved in soft locomotion robot to share the recent advances, to summarize the state-of-the-art, to foresee the future perspective and to exchange ideas. Reports on all aspects of robot design, mechanics of dynamics and kinetics, control strategy, advanced manufacturing, new actuation mechanisms. All contributions covering either theoretical development or practical applications are welcome.
Dr. Bo Li, Xi’an Jiaotong University, China, firstname.lastname@example.org
Prof. Guimin Chen, Xi’an Jiaotong University, China, email@example.com
Special Session 25:
Signal processing and underwater bionic robots
The aim of this session is to provide an international forum that brings together those actively involved in sensors, signal processing, perception theory and methods in the field of underwater bionic robots, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, to foresee the future perspective and to exchange ideas and advances in all aspects of sensors, signal processing, perception theory and methods. All contributions covering either theoretical development or practical applications are welcome.
Prof. Qiao Hu, Xi’an Jiaotong University, China, firstname.lastname@example.org
Special Session 26:
Visual and motional learning in robotics
Robotic technology has played a key role in vast areas including daily life, industrial applications and medical applications. Learning is crucial and important for intelligent robots. For human beings, amazing capabilities in perceiving visual information and motion information make people distinct from animals. Hence, visual learning and motional learning are two active yet connected areas in robotics. The purpose of this session is to bring together experts, scientists and engineers throughout the world to present and share their recent research results and innovative ideas related to visual and motional learning in robotics. Various applications of perception and learning through visual and motional information would be covered by this invited session.
Dr. Hongbin Ma, Beijing Intelligent of Technology, China, email@example.com
Dr. Yanhong Liu, Zhengzhou University, China, firstname.lastname@example.org
Special Session 27:
Robotic drilling and sampling technology
Robot technology plays a key role in deep space, deep water and polar drilling and sampling. Drilling and sampling operations in unpredictable and harsh environments make robots more able to withstand extremely dangerous environmental impacts, including temperature, vibration, vacuum and radiation. In addition, robot technology can also be applied to in-situ measurement, analysis while drilling and data transmission while drilling. The purpose of this meeting is to bring together experts, scientists and engineers from all over the world to introduce and share their recent research results and innovative ideas related to deep space, deep water, deep water and polar drilling and sampling technologies. The topics of this paper include but are not limited to: robotic drilling and sampling process, robot mechanism design, motion control, dynamics analysis, multi-sensor data fusion, environmental adaptability technology.
Dr. Jiafeng Wu, Key Laboratory of unconventional Oil and Gas Education, China University of Petroleum (East China), China, email@example.com
Special Session 28:
Robotic learning in human-robot interactions
Robots can learn efficiently from interactions with humans. Therefore, robots do not only require interaction design and adaptive interfaces, but also sophisticated learning and perceptual algorithms. Recently, a lot of wearable sensing devices and vision-based motion sensing input devices have been introduced into robotics, in particular, social robotics; meanwhile, tons of sensing data must be processed by robots during human-robot interactions. This situation forms a new challenge of human-robot interactions. Fortunately, the cutting-edge machine learning technology reveal a promising solution for this new challenge.
This special session encourages submission of well-written papers from all fields on robotic learning in human-robot interactions, including robotics, computer science, learning algorithms, and behavioral and social sciences. Accepted papers can address topics including how people interact with robots and robotic technologies, how to improve these interactions and make new kinds of interaction possible, the effects of such interactions on organizations or society, and how to deal with the interaction data. The topics of this special session include but are not limited in the following: 1. Human-robot interaction technologies 2. Human behavior understanding 3. Mechanism and interface design in human-robot interactions 4. Deep learning and deep reinforcement learning algorithms 5. Artificial intelligence in robots 6. Speech recognition in human-robot interactions 7. Swarm robot systems in social robotics
Prof. Min Jiang, Xiamen University, China, firstname.lastname@example.org
Dr. Qingyang Hong, Xiamen University, China, email@example.com
Dr. Minghui Shi, Xiamen University, China, firstname.lastname@example.org
Dr. Fei Chao, Xiamen University, China, email@example.com
Dr Jian Fu, Wuhan University of Technology, China.
Special Session 29:
Wearable and assistive devices and robots for healthcare
The session aims to bring together researchers, engineers, and healthcare practitioners from a diverse range of disciplines to present the current state-of-the-art in wearable devices and robots, actuated prostheses and exoskeletons. These fields have gained significant progress in recent years for assistive daily life, functional rehabilitation, restoration of natural mobility and enhancing musculoskeletal strength and endurance. Assistive robots also play a key role in managing the ageing population for daily living activities, smart treatment/diagnose and remote linking to medical centers. The session will show case the emergence of novel actuation schemes based on smart materials and sensing technologies for the development of new wearable and assistive robots. This session will also address the major technical challenges and unmet healthcare demands that can potentially reshape the future of wearable and assistive robots.
Topics to be covered:
• Assistive robot design and control for healthcare applications
• Novel kinematics, actuation schemes and smart materials
• Exoskeletons and actuated prostheses
• Bio-sensing and wearable sensing technologies
• Neuro-interface for human robot interaction
• Human-robot interaction
• Design and Ergonomics (device design, cosmesis, comfort and user acceptance)
• Clinical applications (e.g. post-surgical recover, stroke rehabilitation)
Dr. Jindong Liu, Imperial College London, UK, firstname.lastname@example.org
Dr. Benny Lo, Imperial College London, UK, email@example.com
Special Session 30:
Piezoelectric actuators and micro-nano manipulations
Piezoelectric actuators exhibit merits of high displacement resolution, quick response, simple structure, large power weight ratio, large thrust weight ratio, quiet operation, self-locking when power is off, no electromagnetic interference and so on. These merits make them good candidates for applications in systems with special requirements. For example, piezoelectric actuators have been successfully used in fields like biological micro-nano manipulations, MEMS, measuring equipments, robots and space mechanisms. This special session will comprise the state-of-the-art, latest advances and future trends in the field of piezoelectric actuators and micro-nano manipulations. Advances and trends in the new designs, mathematical modeling, computer simulations, control, optimization techniques, experiments and new applications are very welcome. The topics of this special session include but are not limited to: piezoelectric actuators, micro-nano manipulations, piezoelectric robots, ultrasonic motors, micro piezoelectric motors, piezoelectric positioners, piezoelectric grippers and nano positioning piezoelectric actuators/platform.
Prof. Yingxiang Liu, State Key Laboratory of Robotics, Harbin Institute of Technology, China, firstname.lastname@example.org
Prof. Long Cheng, State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, China, email@example.com
Prof. Xiaolong Lu, State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, China, firstname.lastname@example.org
Prof. Bowen Zhong, Soochow University, China, email@example.com
Special Session 31:
Underwater acoustic and optical signal processing for environmental cognition
Underwater robots have been widely participating in seabed resource investigation, ocean engineering operation, and ocean science research. It is of great practical significance to improve their autonomous perception and intelligent decision-making ability. Among them, the autonomous environmental cognition provides the basis for all other kinds of intelligent control and decision-making. As we all know, the underwater visual sensors mainly include sonar, optical camera and laser. Limited by the turbidity of the water, different sensors should be carefully selected in different tasks. Obviously, people follow some common and basic principles when choosing sensors. This meeting will focus on but not limited to the following three questions:
(1) What problems are urgently needed to be solved in ocean engineering?
(2) How to achieve accurate and practical 3D reconstruction, target recognition and scene perception on different sensors?
(3) How to integrate environmental information in different modalities to achieve a unified environmental expression?
Prof. Qingwu Li, Hohai University, China, firstname.lastname@example.org
Prof. Hongli Xu, Shenyang Institute of Automation, Chinese Academy of Sciences, China, email@example.com
Prof. Xinwei Wang, Institute of Semiconductors, Chinese Academy of Sciences, China, firstname.lastname@example.org
Special Session 32:
Human centered robotics
Powered by new technologies in embedded computers, sensors, communication and artificial intelligence algorithms, human centered robotics has caused lots of research interests all over the world, and it has great potentials in the field of industry, home service and clinical medicine. It aims to understand humans and incorporate such understanding into the design of many cyber physical systems (CPS). This meeting will focus on but not limited to the following two questions:
1) How to understand human’s behavior, context, and emotion using various sensing modalities including wearable and environment sensors;
2) How to use such human understanding to realize human-aware smart systems, including collaborative robot, smart home and autonomous cars.
Prof. Chengdong Wu, Northeastern University, China, email@example.com
Prof. Lijin Fang, Northeastern University, China, firstname.lastname@example.org
Prof. Jinhua She, Tokyo University of Technology, Japan, email@example.com
Prof. Xin Chen, China University of Geosciences, China, firstname.lastname@example.org
Asso. Prof. Fei Wang, Northeastern University, China, email@example.com
Asso. Prof. Zhentao Liu, China University of Geosciences, China, firstname.lastname@example.org
Special Session 33:
Bio-inspired wall climbing robot
Three dimensional obstacle-free (TDOF) locomotion technology is one of the major directions in the future robotic development．It has important applications in the areas of search-and-rescue, space exploration, working in harmful environment, and military reconnaissance. Climbing on vertical and invert surfaces is one of the key technique in developing a TDOF robot. The key challenge for creating wall climbing robot is to develop multi-mode motion mechanism with bio-inspired adhesive materials and spines for dynamic natural environment. The purpose of the special session is to bring together experts, scientists and engineers throughout the world to present and share their recent research theories and novel ideas related to wall climbing motion mechanisms and multi-mode transition methods for a variety of complex circumstance.
The topics of the paper include but are not limited to: robot mechanism design, adhesive material, motion control, dynamics analysis and force feedback. All contributions covering either theoretical development or practical applications are welcome.
Prof. Linsen Xu, Anhui Province Key Laboratory of Biomimetic Sensing and Advanced Robot Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, China, email@example.com
Dr. Fengyu Xu, Jiangsu Engineering Lab for IOT Intelligent Robots（IOTRobot），College of Automation, Nanjing University of Posts and Telecommunications, China, firstname.lastname@example.org
Special Session 34:
Power-assisted system and control
Power-assisted devices, which can assist humans in walking and rehabilitation training, have become a focus of robotics research all over the world. Although human-machine interaction information, e.g. motion recognition or intention recognition, has been extensively studied over the past decade, a satisfactory solution is still missing on how to apply it in practical engineering, such as used as an input for control power-assisted devices or devices that monitor human motion, and comfort evaluation of human-machine interaction. An ingenious system structure design and control scheme is one of the keys in obtaining naturalness and flexibility in human-machine coordinated motion. The purpose of the special session is to supply a platform for researchers from different domains to share and discuss their recent research and novel ideas related to power-assisted devices system and control. The topics of the paper include but are not limited to: signal processing, mechanism design, kinematics and dynamics analysis, and motion control.
Dr. Lifu Gao, Institute of Intelligent Machines, Chinese Academy of Sciences, China, email@example.com
Dr.Bin Zi, Hefei University of Technology, China, firstname.lastname@example.org
Special Session 35:
Compliant manipulation learning and control for lightweight robot
Human beings possess the inherent ability to perform highly dexterous tasks with their arms, which is involved motion generation, posture holding, and interaction with the environment by musculoskeletal system. Meanwhile, as for extending the applicability of robotic manipulators outside the strictly controlled environments of industrial work cells, position control is inadequate. Tasks that involve contact with objects whose positions are not known with perfect certainty require a controller that regulates the relationship between positional deviations and forces on the robot. This problem is formalized in the impedance control framework, which focuses the robot control problem on the interaction between the robot and its environment. This special session not only to be addressed on the methods for human mechanical impedance measurement but compliant manipulation skills control for lightweight robot.
The topics of the paper include but are not limited to: human mechanical impedance measurement, impedance control, force control, and lightweight mechatronic robot joint design and control.
Dr. Yuwang Liu, Shenyang Institute of Automation, Chinese Academy of Sciences, China, email@example.com
Special Session 36:
Human biomechanics and human-centered robotics
Human-centered robotics plays a special role in robotics research; they are not only capable of mimicking human movement, sensing and perception behavior, but are designed to assist human for better and healthier living and performance enhancement. To explore human-centered robotics means firstly to explore and understand human beings on how we move, sense and perceive in complex dynamic environment, and then used these information and data to design and develop the related robotic systems. Hence, this session tackles this topic from multiple perspectives as: (i) biomechanics and neuroscience of human body; (ii) physical and physiological interactions with human body; and (iii) design and development of human-centered robotic systems. There will also be a focus on benchmarking tools, methods and theories from each of these disciplines, with prospect of beginning to synthesize assessment standards for human-centered robotics.
Prof. Lei Ren, University of Manchester, UK, firstname.lastname@example.org
Prof. Qining Wang, Peking University, China, email@example.com
Prof. Zhihui Qian, Jilin University, China, firstname.lastname@example.org
Special Session 37:
Development of high-performance joint drive for robots
Joint drives are the vital core of most robot systems. State-of-the-art joint drives such as the RV reducer and the Harmonic drive already transmit motion and power with high accuracy and power density. However, the overall megatrends - especially, technological breakthroughs –continue to challenge the gear industry and demand further improvements for joint drives. This special session will show that there is still room for further improvements of joint drives and how joint drives can contribute to increasing energy efficiency, prolonging service reliability and reducing product cost. The organizers cordially invite experts, scientists and engineers throughout the world to present and share their recent research results and innovative ideas related to high-performance joint drives for robots. The topics of the paper include, but are not limited to: Innovative Design, Manufacturing and Assembling, Performance Evaluation and Enhancement, Lubrication and Efficiency, Reliability and Diagnosis, Dynamics and Control.
Prof. Ligang Yao, Fuzhou University, China, email@example.com
Prof. Jun Zhang, Fuzhou University, China, firstname.lastname@example.org
Special Session 38:
Modular robots and other mechatronic systems
Although traditional robots and manufacturing systems have achieved great success in industry, robots and other mechatronic systems designed and manufactured in traditional method have shortcomings such as lacking of flexibility, re-configurability and scalability, with high cost and low fault-tolerance, and hence less adaptability to different tasks and environments. To overcome these disadvantages, modularity is a prospective solution. As an advanced design method, modularity becomes more and more important in development of robot and other mechatronic systems, bringing the systems with a lot of benefits such as excellent versatility, flexibility, re-configurability and scalability, low cost, high fault-tolerance and easy repairing.
This special session is intended to provide an international forum for researchers interested in modular design and manufacturing of robots and other mechatronic systems. The topics of this session include but are not limited to the concept of modularity, classification of modular systems, methodology of modular design, automatic modelling of modular systems, design, analysis and application of modular systems. All contributions in theoretical research, technical development or practical applications are welcome.
Prof. Yisheng Guan, Guangdong University of Technology, China, email@example.com
Prof. Shugen Ma, Ritsumeikan University, Japan, firstname.lastname@example.org
Special Session 39:
Compliant mechanism is a kind of mechanical system that transfers motion and force through elastic deformation of the structure. This characteristic allows for its potential use in the fields of precision engineering, optics and instruments. The purpose of this session is to bring together experts, scientists and engineers throughout the world to present and share their recent research results and innovative ideas related to compliant mechanisms. All contributions covering either theoretical development or practical applications are welcome.
Dr. Chi Zhang, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, China, email@example.com
Dr. Haiyue Zhu, Singapore Institute of Manufacturing Technology, Agency for Science, Technology and Research, Singapore, firstname.lastname@example.org
Dr. Hui Tang, Guangdong University of Technology, China, email@example.com
Dr. Benliang Zhu, South China University of Technology, China, firstname.lastname@example.org
Special Session 40:
Field robots are a class of robots with high-level intelligence at the sophisticated field environments, which can execute lots of hazardous tasks instead of the human in planetary exploration, underwater operation, aerial investigation and disaster rescuing. The unknown, dynamic and unstructured circumstances have created a series of challenges to the field robots traversing on the sea-ground-sky-space circumstances. To promote the further development and application of the field robots, this topic discusses the new fundamental scientific problems and technologies emerging from their mechanical design, sensing, planning and decision-making, autonomous control, etc. Potential topics for the field robots include, but are not limited to: Design of locomotion system; Modeling and simulation; Motion planning and control; Robot navigation, localization and mapping; Learning and adaptation in robots; Human-robot interaction; Biologically-inspired robots; Wheeled/legged robots; Swarm robotics; Industrial/commercial field robots
Prof. Ming Yue, Dalian University of Technology, China, email@example.com
Prof. Haibo Gao, Harbin Institute of Technology, China, firstname.lastname@example.org
Dr. Weihua Li, Harbin Institute of Technology (Weihai), China, email@example.com
Special Session 41:
Robotics for cell manipulation and characterization
Cell manipulation and characterization is a powerful tool to reveal the mystery of cell activities. Optical microscope based or atomic force microscope based robots can provide micro-scale and even nano-scale manipulation capabilities on cells. Robotized cell manipulation is superior to manual cell manipulation if the displacement and the applied force of the tool can be precisely controlled. However, the overall success rate of cell manipulation is still very low. The purpose of this session is to bring together experts, scientists and engineers throughout the world to present and share their recent research results related to robotized cell manipulation. The topics of paper include, but are not limited to: Micro- and nano- positioning systems; Micro-operating robot systems; Microinjection systems.
Prof. Xin Zhao, Nankai University, China, firstname.lastname@example.org
Associate Prof. Yanding Qin, Nankai University, email@example.com
Associate Prof. Mingzhu Sun, Nankai University, firstname.lastname@example.org
Special Session 42:
Towards robotic dexterous manipulation by multi-modality sensing fusion and control
Robots’ dexterous manipulability depends on their sensing, recognition, decision and control. Although we have witnessed the fast development of advanced sensors, artificial intelligence and autonomous control in the past decade years, the research on autonomous and dexterous manipulation still stayed in its early stage. Without human’s intervention, performing manipulation even with most advanced sensing technology in the unknown environment is still a big challenge for robots.
Within this workshop we will bring together experts from different domains, e.g. dexterous control, vision-tactile sensing, machine learning and visual 3D reconstruction to discuss the progress and challenges of robotic dexterous manipulation, foster potential collaborations, and reinforce the strict link among such interdisciplinary research fields to facilitate progress in this community.
Central to the discussion will be three key questions:
1.What is the state of the art of the multi-modality sensing and manipulation in space robots, underwater robots, medical robots and service robots etc. domain?
2.How tactile, vision and other modality sensing can be fused to extract high level recognition information for complex manipulation scenario?
3.What is a general controller which can integrate multi-modality feedback for complex manipulation tasks? The workshop topics include but are not limited in the following
1.Robotic hand’s grasping planning and control
2.Unknown objects in-hand manipulation
3.Sensory-based robotic hand grasping and manipulation
4.Neuro-inspired control for grasping and manipulation
5.Machine learning techniques for grasping and manipulation
6.Visuo-tactile data fusion
7.Online 3D reconstruction in the manipulation scenario
Dr. Qiang Li, Tencent Robotics X, China, email@example.com
Dr. Zhaopeng Chen, Agile Robots AG, Germany
Dr. Junpei Zhong, National Institute of Advanced Industrial Science and Technology (AIST) , Japan
Prof. Qifeng Zhang, Shenyang Institute of Automation, CAS, China
Prof. Shaowei Fan, Harbin Institute of Technology, China
Prof. Huaping Liu, TsingHua University, China
Special Session 43:
Dynamics of robots: sensoring, measurement, and intelligent control
The aim of this session is to provide an international forum of academic and basic studies that brings together researchers to exchange ideas in areas related to the dynamics of robots, including sensoring, measurement, and intelligent control. This forum emphases on theories, techniques and scientific discoveries that has a potential to be applied to all types of robotic systems, or intelligent mechanical systems in general. Contributions covering bold and game-changing basic theories and innovative techniques with potential practical applications to current and future robotic industries are all welcome.
Special Session 44:
Robotic grasping and manipulation with incomplete information and strong disturbance
Grasping and manipulation using robotic can be applied in many applications in engineering industry. The industrial applications of grasping manipulation often require the robot to perform a task adequately and precisely. Notice that, in engineering practice, it is quite pervasive that the robotic grasping and manipulation mission are performed in adversary environment. The object to be grasped can be noncooperative and the robotic systems can be subjected to possible incomplete information, internal/external disturbances, and sensor noises. As such, it is required that the design of the grasping and manipulation mechanism should be both robust and resilient. To be more specific. The design of such a task requires an in‐depth knowledge of several interrelated subjects including: gripper structure design, grasp configurations, force and stiffness study, objection estimation/perception and compliance control. The subjects include but are not limited to:
1. Robot Gripper Structure design 2. Grasping control in incomplete information and strong disturbance environment 3. Grasping and manipulation using hyper-redundant manipulator 4. Noncooperative manipulation using multi-robot/agent 5. Fine manipulation in noisy environment 6. Object estimation/perception for robot systems
Dr. Yuan Yuan, Brunel University London, UK, firstname.lastname@example.org
Dr. Shuguang Li, Massachusetts Institute of Technology, USA, email@example.com
Dr. Chong Sun, Northwestern Polytechnical University, China, firstname.lastname@example.org