Research Area:  Metaheuristic Computing

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.

Keywords:  
Brain-inspired intelligent robots
decision making
muscle control
musculoskeletal robots
visual cognition

Author(s) Name:  Hong Qiao; Jiahao Chen; Xiao Huang

Publisher name:  IEEE

DOI:  10.1109/TCYB.2021.3071312

Volume Information:  Volume: 52, Issue: 10, October 2022,Page(s): 11267 - 11280

Paper Link:   https://ieeexplore.ieee.org/abstract/document/9418510