Adaptive Control Strategy for Quadruped Robots in Actuator Degradation Scenarios

Meta Reinforcement Learning of Locomotion Policy for Quadruped Robots with Motor Stuck

C Chen, C Li, H Lu, Y Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Significant progress has been made in enhancing the motion capabilities of quadruped
robots in unstructured environments due to advancements in hardware and control …
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Robust Locomotion Policy with Adaptive Lipschitz Constraint for Legged Robots

Y Zhang, B Nie, Y Gao - IEEE Robotics and Automation Letters, 2024 - ieeexplore.ieee.org
Deep Reinforcement Learning (DRL) has achieved significant advancements in legged
robot locomotion tasks. However, neural network-based control policies suffer from action …
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