INVITED SESSIONS

Session Name Chairs
Intelligent Control of Unmanned Systems Liang Sun, Associate Professor
School of Automation & Electrical Engineering, University of Science and Technology Beijing
Email: liangsun@ustb.edu.cn

Wei He, Professor
School of Automation & Electrical Engineering, University of Science and Technology Beijing
Email: weihe@ieee.org

Zhijia Zhao, Lecturer
School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou
Email: zhjzhaoscut@163.com

The proposed session shows expertise in the area of control design of the unmanned systems to the audience of IEEE ARM’2018. This session particularly emphasize research work related to advanced intelligent autonomous control on unmanned robotic systems, unmanned aerial vehicles, and spacecraft.
Human Robot Collaborative Intelligence: Theory and Applications Chenguang Yang
South China University of Technology
Email: cyang@ieee.org

Xiaofeng Liu
College of IoT Engineering, Hohai University, Nanjing, China

Junpei Zhong
National Institute of Advanced Industrial Science and Technology
Email: joni.zhong@aist.go.jp

Angelo Cangelosi
University of Plymouth
Email: A.Cangelosi@plymouth.ac.uk

The submission for the session will be considered as a Special issue of “Human Robot Collaborative Intelligence: Theory and Applications” on Journal of Interaction Studies (IF:0.958).
Perception and Knowledge Engineering Hui Cao, Professor
Xi’an Jiaotong University, China
Email: huicao@mail.xjtu.edu.cn

Xiali (Sharon) Hei
University of Louisiana at Lafayette, USA
Email: xiali.hei@louisiana.edu

Liao Wu
Queensland University of Technology, Australia
Email: liao.wu@qut.edu.au

This session particularly emphasizes research work related to machine learning, data mining, knowledge representation, brain-inspired computing, and information analysis.
Artificial Intelligence in Collaborative Robotics Lei Cai, Associate Professor
School of Information and Engineering,Henan Institute of Science and Technology
Email: cailei2014@126.com

Zhenxue Chen, Associate Professor
School of Control Science and Engineering, Shandong University
Email: chenzhenxue@sdu.edu.cn

Lan Wu, Professor
College of Electrical Engineering, Henan University of Technology
Email: richod@126.com

Liangliang Chen, Research Fellow
Shenzhen Academy of Robotics
Email: leon.chen@szarobotics.com

This special session is a good opportunity to contribute to this new exciting field. In particular, it emphasizes research work related to Artificial Intelligence algorithm for the engineering problem of collaborative robotics.

Potential topics include but are not limited to the following:

  • Artificial intelligence for collaborative robotics
  • Artificial Intelligent control theory for collaborative robotics
  • Collaborative control for sensor fusion in multi-robot system
  • Mathematical algorithms for robot learning
Modeling, Learning and Control of Lower-Limb Exoskeleton Systems Hong Cheng, Professor
University of Electronic Science and Technology of China
Email: hcheng@uestc.edu.cn

Fuchun Sun, Professor
Tsinghua University
Email: fcsun@tsinghua.edu.cn

Lower exoskeleton Systems have gained considerable interests since its widely applications in military, rehabilitation and industrial scenarios. The fundamentals of lower exoskeleton can be characterized by: mechanical design, modeling, sensing, control, learning and interaction. The final goal of a lower exoskeleton is to finish particular tasks with different scenarios.
Soft Robotics Jian Zhu, Assistant professor
Dept of Mechanical Engineering, National University of Singapore
Email: mpezhuj@nus.edu.sg

Dongong Zheng, Postdoc Fellow
Department of Biomedical Engineering, National University of Singapore
Email: biezhd@nus.edu.sg

Soft robots attract interest from researchers due to their interesting attributes including compliant materials, large degrees of freedom, safety and adaptability. Soft Robotics Session provides a platform to exchange ideas on design and development of soft actuators, sensors and robots. This session invites submission from interdisciplinary areas, such as robot control, design, structure, material, and mechanics.
Neuro-Robotics Chi Zhu, Professor
Maebashi Institute of Technology, Japan
Email: zhu@maebashi-it.ac.jp
Neuro-robotics is one of the most exciting emerging technologies of the last decade to impact bioengineering, neuroscience, computer science and robotics. It is a combined discipline linking directly the nervous system with man-made devices. There are many subjects that are remained still open. For example, neural representation, modeling in motor systems, computing with neural spikes, hardware implementation of neural interfaces such as BMI/BCI.
UAV Associated Vision Zhi Gao, Research Scientist
Temasek Laboratories, National University of Singapore
Email: tslgz@nus.edu.sg

Zhengxin Sun, Postdoc Fellow
Department of Biomedical Engineering, National University of Singapore
Email: szx@seu.edu.cn

Unmanned aerial vehicles (UAVs) have become a powerful and widely used tool for rescue, surveillance and exploration. To perform such tasks, UAVs have to fly autonomously in unknown environments, according to the obtained information for the purpose of flight control. In particular, the necessary tasks of motion estimation, localization or scene reconstruction, understanding are further complicated in GPS-denied scenarios. In recent years, UAV associated vision sensors and techniques have attracted wide attentions from multiple disciplines, and promising results have been reported.
Closed-loop Grippers and Manipulators Weiwei Wan, Associate Professor
School of Engineering Science, Osaka University, Japan
Email: wanweiwei07@gmail
Recent advancement in tactile and torque sensors, various levels of planning algorithms, and deep learning architectures are promoting the deployment of next-generation grippers and manipulators in manufacturing. Together with vision sensors, the grippers and manipulators already take places of several work done by human workers in unstructured environment. The examples include but not limited to separating postal packages, preparing mechanical components, cutting vegetables, assembly furniture, etc. This special session is organized under the background of the advances. It aims to collect papers discussing the most up-to-date studies in developing and deploying closed-loop grippers and manipulators in manufacturing. The organized session is expected to spark discussions on new techniques and new applications to completely replace human workers using closed-loop grippers and manipulators.
Parallel Robots and Coordination Manipulation Weiwei Shang, Associate Professor
University of Science and Technology of China, China
Email: wwshang@ustc.edu.cn

Shengchao Zhen, Associate Professor
Hefei University of Technology, China
Email: zhenshengchao@hfut.edu.cn

Parallel robots with physically closed-loop structure generally have potential advantages of high stiffness, speed, accuracy and large loading capacity. This session focuses on the research work of mechanism optimization, novel actuation, kinematic calibration, dynamic identification, dynamic control, motion planning and industrial applicationfor parallel robots. Furthermore, inspired by the closed-loop structure of parallel robots, this session discusses the coordination manipulation for dual-arm robots, multi-robots and multi-axis systems.
Motion planning and control of human-robot system Jian Huang, Professor, Huazhong University of Science and Technology,
Email: huang_jan@hust.edu.cn

Qin Zhang, Associate Professor
Huazhong University of Science and Technology,
Email: qin.zhang@hust.edu.cn