Energy-Efficient Gait Optimization of Snake-Like Modular Robots by Using Multiobjective Reinforcement Learning and a Fuzzy Inference System

Author:

Singh Akash1,Chiu Wei-Yu1ORCID,Manoharan Shri Harish1ORCID,Romanov Alexey M.2ORCID

Affiliation:

1. Department of Electrical Engineering, Multi-Objective Control and Reinforcement Learning (MOCaRL) Laboratory, National Tsing Hua University, Hsinchu, Taiwan

2. Institute of Artificial Intelligence, MIREA—Russian Technological University, Moscow, Russia

Funder

Ministry of Science and Technology of Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 6 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. Applying a Generative Adversarial Approach to Build an Intelligent Control System for Robotic Systems;2023 International Russian Automation Conference (RusAutoCon);2023-09-10

2. Reinforcement Learning Based Controllers for Dynamical Systems;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

3. Mixed Compositional Pattern-Producing Network-NeuroEvolution of Augmenting Topologies Method for the Locomotion Control of a Snake-Like Modular Robot;2023 SICE International Symposium on Control Systems (SICE ISCS);2023-03-09

4. Forecast-driven stochastic optimization scheduling of an energy management system for an isolated hydrogen microgrid;Energy Conversion and Management;2023-02

5. The Q-Fractionalism Reasoning Learning Method;IEEE Transactions on Neural Networks and Learning Systems;2023

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