Chenzui Li
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View article: Human-Like Robot Impedance Regulation Skill Learning from Human-Human Demonstrations
Human-Like Robot Impedance Regulation Skill Learning from Human-Human Demonstrations Open
Humans are experts in physical collaboration by leveraging cognitive abilities such as perception, reasoning, and decision-making to regulate compliance behaviors based on their partners' states and task requirements. Equipping robots with…
View article: Muscle Activation Estimation by Optimizing the Musculoskeletal Model for Personalized Strength and Conditioning Training
Muscle Activation Estimation by Optimizing the Musculoskeletal Model for Personalized Strength and Conditioning Training Open
Musculoskeletal models are pivotal in the domains of rehabilitation and resistance training to analyze muscle conditions. However, individual variability in musculoskeletal parameters and the immeasurability of some internal biomechanical …
View article: Learning Goal-oriented Bimanual Dough Rolling Using Dynamic Heterogeneous Graph Based on Human Demonstration
Learning Goal-oriented Bimanual Dough Rolling Using Dynamic Heterogeneous Graph Based on Human Demonstration Open
Soft object manipulation poses significant challenges for robots, requiring effective techniques for state representation and manipulation policy learning. State representation involves capturing the dynamic changes in the environment, whi…
View article: BiRP: Learning Robot Generalized Bimanual Coordination using Relative Parameterization Method on Human Demonstration
BiRP: Learning Robot Generalized Bimanual Coordination using Relative Parameterization Method on Human Demonstration Open
Human bimanual manipulation can perform more complex tasks than a simple combination of two single arms, which is credited to the spatio-temporal coordination between the arms. However, the description of bimanual coordination is still an …