2021
Meta-Learning for Fast Adaptive Locomotion with Uncertainties in Environments and Robot Dynamics
IROS 2021poster
This work developed meta-learning control policies to achieve fast online adaptation to different changing conditions, which generate diverse and robust locomotion. The proposed method updates the interaction model constantly, samples feasible sequences of actions of estimated state-action trajector…