Representation Reinforcement Learning-Based Dense Control for Point Following With State Sparse Sensing of 3-D Snake Robots

IF 6.1 1区工程技术 Q1 AUTOMATION & CONTROL SYSTEMS

IEEE/ASME Transactions on Mechatronics Pub Date : 2024-10-16 DOI:10.1109/tmech.2024.3465018

Lixing Liu, Jiashun Liu, Xian Guo, Wei Huang, Yongchun Fang, Jianye Hao

引用次数: 0

查看原文本刊更多论文

基于表征强化学习的密集控制，用于三维蛇形机器人的状态稀疏感知点跟踪

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE/ASME Transactions on Mechatronics 工程技术-工程：电子与电气

CiteScore

11.60

自引率

18.80%

发文量

527

审稿时长

7.8 months

期刊介绍： IEEE/ASME Transactions on Mechatronics publishes high quality technical papers on technological advances in mechatronics. A primary purpose of the IEEE/ASME Transactions on Mechatronics is to have an archival publication which encompasses both theory and practice. Papers published in the IEEE/ASME Transactions on Mechatronics disclose significant new knowledge needed to implement intelligent mechatronics systems, from analysis and design through simulation and hardware and software implementation. The Transactions also contains a letters section dedicated to rapid publication of short correspondence items concerning new research results.