A Survey of Brain-Inspired Intelligent Robots: Integration of Vision, Decision, Motion Control, and Musculoskeletal Systems.

Journal: IEEE transactions on cybernetics
Published Date:

Abstract

Current robotic studies are focused on the performance of specific tasks. However, such tasks cannot be generalized, and some special tasks, such as compliant and precise manipulation, fast and flexible response, and deep collaboration between humans and robots, cannot be realized. Brain-inspired intelligent robots imitate humans and animals, from inner mechanisms to external structures, through an integration of visual cognition, decision making, motion control, and musculoskeletal systems. This kind of robot is more likely to realize the functions that current robots cannot realize and become human friends. With the focus on the development of brain-inspired intelligent robots, this article reviews cutting-edge research in the areas of brain-inspired visual cognition, decision making, musculoskeletal robots, motion control, and their integration. It aims to provide greater insight into brain-inspired intelligent robots and attracts more attention to this field from the global research community.

Authors

  • Hong Qiao
    State Key Lab of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of SciencesBeijing, China; Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence TechnologyShanghai, China; University of Chinese Academy of SciencesBeijing, China.
  • Jiahao Chen
    The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, 310006, China.
  • Xiao Huang
    Department of Anesthesiology, Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Workers' Stadium South Road, Beijing 100020, Chaoyang Distinct, China.