A Disturbance Rejection Control Method Based on Deep Reinforcement Learning for a Biped Robot
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[1] Chao Chen,et al. Stability Control of a Biped Robot on a Dynamic Platform Based on Hybrid Reinforcement Learning , 2020, Sensors.
[2] Nuno Lau,et al. A Hybrid Biped Stabilizer System Based on Analytical Control and Learning of Symmetrical Residual Physics , 2020, ArXiv.
[3] Gil Morales,et al. Learning an Efficient Gait Cycle of a Biped Robot Based on Reinforcement Learning and Artificial Neural Networks , 2019, Applied Sciences.
[4] Tom Ziemke,et al. A novel approach to locomotion learning: Actor-Critic architecture using central pattern generators and dynamic motor primitives , 2014, Front. Neurorobot..
[5] Joonho Lee,et al. Learning agile and dynamic motor skills for legged robots , 2019, Science Robotics.
[6] Alexander Herzog,et al. Momentum control with hierarchical inverse dynamics on a torque-controlled humanoid , 2014, Autonomous Robots.
[7] Zhao Guo,et al. Intelligent controller for passivity-based biped robot using deep Q network , 2019, J. Intell. Fuzzy Syst..
[8] Twan Koolen,et al. Design of a Momentum-Based Control Framework and Application to the Humanoid Robot Atlas , 2016, Int. J. Humanoid Robotics.
[9] Sami Haddadin,et al. Model-Adaptive High-Speed Collision Detection for Serial-Chain Robot Manipulators , 2020, IEEE Robotics and Automation Letters.
[10] Jun Morimoto,et al. Learning CPG-based biped locomotion with a policy gradient method , 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..
[11] Weiguo Wu,et al. Posture self-stabilizer of a biped robot based on training platform and reinforcement learning , 2017, Robotics Auton. Syst..