Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application

  • Hong Qiao
  • , Ya Xiong Wu
  • , Shan Lin Zhong
  • , Pei Jie Yin
  • , Jia Hao Chen

Research output: Contribution to journalReview articlepeer-review

74 Scopus citations

Abstract

Traditional joint-link robots have been widely used in production lines because of their high precision for single tasks. With the development of the manufacturing and service industries, the requirement for the comprehensive performance of robotics is growing. Numerous types of bio-inspired robotics have been investigated to realize human-like motion control and manipulation. A study route from inner mechanisms to external structures is proposed to imitate humans and animals better. With this idea, a brain-inspired intelligent robotic system is constructed that contains visual cognition, decision-making, motion control, and musculoskeletal structures. This paper reviews cutting-edge research in brain-inspired visual cognition, decision-making, motion control, and musculoskeletal systems. Two software systems and a corresponding hardware system are established, aiming at the verification and applications of next-generation brain-inspired musculoskeletal robots.

Original languageEnglish
Pages (from-to)1-18
Number of pages18
JournalMachine Intelligence Research
Volume20
Issue number1
DOIs
StatePublished - Feb 2023
Externally publishedYes

Keywords

  • Brain-inspired intelligent robot
  • cognitive intelligence
  • decision making
  • muscle control
  • software and hardware

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