Motion Planning and Obstacle Avoidance for Robot Manipulators Using Model Predictive Control-based Reinforcement Learning-Reference-Cited by-同舟云学术

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Motion Planning and Obstacle Avoidance for Robot Manipulators Using Model Predictive Control-based Reinforcement Learning

Published:2022-10-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Baselizadeh Adel¹,Khaksar Weria²,Torresen Jim³

Affiliation:

1. University of Oslo,Department of Informatics,Oslo,Norway

2. Norwegian University of Life Sciences,Faculty of Science and Technology,Ås,Norway

3. University of Oslo,Department of Informatics and RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion,Oslo,Norway

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9945068/9945069/09945504.pdf?arnumber=9945504

Reference29 articles.

1. Collision Preventing Phase-Progress Control for Velocity Adaptation in Human-Robot Collaboration

2. Deep Reinforcement Learning for Collision Avoidance of Robotic Manipulators

3. Adaptive Real-time Learning-based Neuro-Fuzzy Control of Robot Manipulators

4. Data-Driven Model Predictive Control for Trajectory Tracking With a Robotic Arm

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on manipulators controlling and planning based on transfer learning;Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024);2024-07-05

2. Vibration Control with Reinforcement Learning Based on Multi-Reward Lightweight Networks;Applied Sciences;2024-04-30

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