“Advanced Fuzzy Robotic Systems ”
for FUZZ-IEEE 2020
July 19-24, 2020 – Glasgow, Scotland, UK.

Session Organizers:
 Ching-Chih Tsai, Ph.D, FIEE,
 Department of Electrical Engineering, National Chung Hsing University, 250, Kao-Kuang Road,
 Taichung 40227, Taiwan.
 Tel: 886-919-986511

Special Session description

  In recent years, a trend has emerged in which techniques of machine learning, deep learning, broad learning, computational intelligence, fuzzy control and robotic systems have been integrated into advanced fuzzy robotics systems in a variety of scales to meet the needs of implementation at the angle of commercial or industrial products. Such systems have gained very successful applications in industrial robotics, mobile robotics, autonomous driving, UAVs and underwater vehicles, such that the subject of fuzzy robotics has become an important branch of fuzzy systems and applications . In light of this important trend, it is timely important to propose a special session, called “ Advanced fuzzy robotic systems” at FUZZ-IEEE 2020, in order to promote advanced theory, practices, applications and interdisciplinary aspects of fuzzy robotics. The goal of this special session is to disseminate high quality research results regarding not only the theoretic development in integration of fuzzy control theories and advanced robotic techniques, but also their interesting applications to intelligent mobile robots, artificial systems, intelligent vehicles, intelligent robotic systems and smart systems. In addition, this session is also aimed to facilitate interactions among researchers and practitioners.

Keywords (see list of keywords in the call for papers)

• Fuzzy Control systems
• Fuzzy Robotic Systems
• Fuzzy Industrial Robotic Systems
• Fuzzy Mobile Robotic Systems
• Fuzzy Service Robotic Systems