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04/15/2022
Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptation
Recognizing human locomotion intent and activities is important for cont...
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01/09/2022
Preserving Domain Private Representation via Mutual Information Maximization
Recent advances in unsupervised domain adaptation have shown that mitiga...
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08/29/2020
How does the structure embedded in learning policy affect learning quadruped locomotion?
Reinforcement learning (RL) is a popular data-driven method that has dem...
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02/07/2020
Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP)
The optimal policy of a reinforcement learning problem is often disconti...
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10/22/2019
Teach Biped Robots to Walk via Gait Principles and Reinforcement Learning with Adversarial Critics
Controlling a biped robot to walk stably is a challenging task consideri...
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04/25/2019
Sequential Decision Fusion for Environmental Classification in Assistive Walking
Powered prostheses are effective for helping amputees walk on level grou...
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04/22/2019
Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features
Learning on point cloud is eagerly in demand because the point cloud is ...
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03/18/2019
Sensor Fusion for Predictive Control of Human-Prosthesis-Environment Dynamics in Assistive Walking: A Survey
This survey paper concerns Sensor Fusion for Predictive Control of Human...
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03/16/2019
