Work

Obstacle-Avoidance Motion Planning Method of Manipulator Based on Deep Reinforcement Learning

Year: 2025

Type: article

Source: Unmanned Systems

DOI: 10.1142/s2301385025410079

Authors: Yiyang Liu, Defan Wu, Yukai Fu, Hongfei Bai, Chao Deng

Institutions: Shenyang Institute of Automation, Chinese Academy of Sciences, State Key Laboratory of Robotics, University of Chinese Academy of Sciences, Nanjing University of Posts and Telecommunications

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Natural Science Foundation of China

Awards: G6767769032, G7588867604

OpenAlex ID: W4409178170

FWCI: 0.412

Cites: 27

Cited by: 1

Related to: 10