Editorial: Biological-Inspired Autonomous Mobile Manipulation: Challenges in Design, Control, and Real-World Applications

Zhenshan Bing; Fei Chen; Rui Li; Junpei Zhong; Qiang Li

doi:10.3389/fnbot.2022.928465

Editorial: Biological-Inspired Autonomous Mobile Manipulation: Challenges in Design, Control, and Real-World Applications

Front Neurorobot. 2022 Jun 15:16:928465. doi: 10.3389/fnbot.2022.928465. eCollection 2022.

Authors

Zhenshan Bing¹, Fei Chen², Rui Li³, Junpei Zhong⁴, Qiang Li⁵

Affiliations

¹ Department of Informatics, Technical University of Munich, Munich, Germany.
² Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.
³ School of Automation, Chongqing University, Chongqing, China.
⁴ Department of Rehabilitation Sciences, Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China.
⁵ Center for Cognitive Interaction Technology (CITEC), Bielefeld University, Bielefeld, Germany.

No abstract available

Keywords: autonomous mobile manipulation; biological-inspired control; biological-inspired mechanism design; brain-inspired navigation; neuromorphic sensing and computation.

Publication types

Editorial