Control System for Mobile Robot using FPGA-Based Q-Learning Accelerator
Author:
Affiliation:
1. School of Electrical Engineering and Informatics Bandung Institute of Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9935342/9935131/09935386.pdf?arnumber=9935386
Reference9 articles.
1. Energy Comparison of Controllers Used for a Differential Drive Wheeled Mobile Robot
2. A Flexible Architecture for Navigation Control of a Mobile Robot
3. Getting Started,2021
4. Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning
5. Arduino CLI (Command Line Interface) Application,2022
Cited by 1 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. MazeCov-Q: An Efficient Maze-Based Reinforcement Learning Accelerator for Coverage;2023 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS);2023-04-19
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