Advanced Fuzzy Technology with Applications to Interactive Robots

Advanced fuzzy technology with applications to interactive robots (AFTAIR) is the special session for the FUZZ-IEEE 2022 conference which will be held as part of the 2022 IEEE WCCI in Padua, Italy at July 18-23, 2022. IEEE WCCI 2022 is the world’s largest technical event on computational intelligence, featuring the three flagship conferences of the IEEE Computational Intelligence Society (CIS): the 2022 International Joint Conference on Neural Networks (IJCNN 2022), the 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2022), and the 2022 IEEE Congress on Evolutionary Computation (IEEE CEC 2022).

Scope

Interactive robots can compensate for the disadvantages of working alone with humans or robots in a wide range of areas, which can interact intelligently with the environment and other robots. Thanks to the flexible and dexterous structure, multi-modal perception functions, and the ability to distribute autonomously and work collaboratively, interactive robots can adapt to complex dynamic environments and work collaboratively and autonomously. During the decades, structural theory and key control technologies of interactive robots have provided innovative ideas and scientific support in the fields of intelligent industrial manufacturing, medical rehabilitation, military affairs, and space in-orbit services, etc.


Fuzzy systems mimic comprehensive human inference and apply it to applications under nonlinear and uncertain environments. In particular, it has shown the application potential in environment perception, decision making, system identification, and nonlinear control design. To compare with the other proper machine learning methods, fuzzy inference based methods are more explainable and less experimental data dependent. The introduction of advanced fuzzy techniques into interactive robots will further improve the accuracy of human-robot collaboration, thereby optimizing the interaction performance. For example, in the case of surgical interactive robots, movement adjustments based on fuzzy systems to predict the intentions of the surgeon can improve the safety and suppleness of human-robot co-movement.

Therefore, this special session aims to explore the application of fuzzy systems in interactive robots, including understanding the control characteristics of human-robot-environment interaction, discussing the possibilities of interactive context understanding and behavioral intention sensing, and deriving key strategies for optimizing human-robot collaboration. This special session covers a wide range of topics, including active environmental awareness, natural interaction of human-robot systems, and new intelligent fuzzy control strategies with high performance.

Topics of interests

This special session is expected to attract worldwide interest and contributions from relevant groups and to present cutting-edge works in both robotics and fuzzy theory. Through the organization of the special session, we expect to deepen the discussion and possibly promote mutual cooperation in the direction of interactive robotics. Moreover, the possibility to transfer research results from the laboratory to industrial or market applications is also the focus of this session.

The topics of interest include (but are not limited to) the following issues:

  • Intelligent sensors (e.g., vision, tactile, etc.) for perception and exploration

  • Mechanical design of interactive robots

  • Fuzzy control of interactive robots

  • Fuzzy identification on environment perception

  • Human-robot interaction

  • Fuzzy-Based machine learning with application to intent prediction

  • Fuzzy-Based reinforcement learning with application to interactive control

  • Applications of interactive robotics in industry, e.g., manipulation, robot-assisted surgery


Organizes and Contact

Ziwei Wang, Imperial College London, United Kingdom (contact: ziwei.wang@imperial.ac.uk)

Bo Xiao, Imperial College London, United Kingdom

Hak-Keung Lam, King's College London, United Kingdom

Xiaojie Su, Chongqing University, China


Program Committee

  • Etienne Burdet, Imperial College, UK

  • Eric. M. Yeatman, Imperial College, UK

  • Rathinasamy Sakthivel, Bharathiar University, India

  • Ju H. Park, Yeungnam University, South Korea


Important Dates

  • Title and Abstract submission: January 31, 2022 (11:59 PM AoE) New submissions cannot be created past this deadline.

  • Complete Paper (pdf) submission: February 14, 2022 (11:59 PM AoE) STRICT DEADLINE

  • Notification of acceptance: April 26, 2022

  • Final paper submission: May 23, 2022

Notes: Submission procedure, deadlines, and paper format are the same as the FUZZ-IEEE 2022 main conference. In particular, we recall that papers must be submitted through the FUZZ-IEEE 2022 online submission system while selecting the AFTAIR special session under the list of research topics in the submission system. More details on paper submission can be found here.