Dynamic Obstacle Avoidance for Cable-Driven Parallel Robots With Mobile Bases via Sim-to-Real Reinforcement Learning-Reference-Cited by-同舟云学术

Dynamic Obstacle Avoidance for Cable-Driven Parallel Robots With Mobile Bases via Sim-to-Real Reinforcement Learning

Published:2023-03 Issue:3 Volume:8 Page:1683-1690
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Liu Yuming¹^ORCID,Cao Zhihao¹^ORCID,Xiong Hao¹^ORCID,Du Junfeng¹,Cao Huanhui¹,Zhang Lin²^ORCID

Affiliation:

1. Guangdong Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics and the School of Mechanical Engineering and Automation, the Harbin Institute of Technology Shenzhen, Shenzhen, China

2. Department of Physics & Astronomy, University of Central Arkansas, Conway, AR, USA

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Shenzhen Science and Technology Program

Research Foundation for Advanced Talents

Harbin Institute of Technology Shenzhen

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10024862/10035491.pdf?arnumber=10035491

Reference32 articles.

1. Efficient Wrench-Closure and Interference-Free Conditions Verification for Cable-Driven Parallel Robot Trajectories Using a Ray-Based Method

2. Wrench-Feasible Workspace of Mobile Cable-Driven Parallel Robots

3. Collision-free path planning of cable-driven parallel robots in cluttered environments

4. A real-time path planning algorithm for cable-driven parallel robots in dynamic environment based on artificial potential guided RRT

5. MuJoCo: A physics engine for model-based control

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