Hybrid LMC: Hybrid Learning and Model-based Control for Wheeled Humanoid Robot via Ensemble Deep Reinforcement Learning

Author:

Baek Donghoon1,Purushottam Amartya2,Ramos Joao1

Affiliation:

1. University of Illinois at Urbana-Champaign,Department of Mechanical Science and Engineering,USA

2. University of Illinois at Urbana-Champaign,Department of Electrical and Computer Engineering,USA

Funder

National Science Foundation

Publisher

IEEE

Cited by 5 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. Lunar Leap Robot: 3M Architecture–Enhanced Deep Reinforcement Learning Method for Quadruped Robot Jumping in Low-Gravity Environment;Journal of Aerospace Engineering;2024-11

2. Rough Terrain Path Tracking of an Ackermann Steered Platform using Hybrid Deep Reinforcement Learning;2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM);2024-07-15

3. Hybrid Stepping Motion Generation for Wheeled-Bipedal Robots Without Roll Joints on Legs;2023 21st International Conference on Advanced Robotics (ICAR);2023-12-05

4. evoBOT – Design and Learning-Based Control of a Two-Wheeled Compound Inverted Pendulum Robot;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

5. Balance Control of a Humanoid Robot Using DeepReinforcement Learning;2023 28th International Computer Conference, Computer Society of Iran (CSICC);2023-01-25

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