Chenhao Li
Chenhao Li
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Recent & Upcoming Talks
2024
FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning
A self-supervised, structured representation and generation method that extracts spatial-temporal relationships in periodic or quasi-periodic motions.
Mar 27, 2024 4:00 PM
Toyota Research Institute
Project
Journal Club on Pose Estimation and Action Recognition
A self-supervised, structured representation and generation method that extracts spatial-temporal relationships in periodic or quasi-periodic motions.
Mar 21, 2024 3:00 PM
Shirley Ryan AbilityLab, Northwestern University
Project
Leveraging Spatial-Temporal Structures in Self-supervised Motion Representation and Learning
A self-supervised, structured representation and generation method that extracts spatial-temporal relationships in periodic or quasi-periodic motions.
Mar 20, 2024 4:30 PM
The Robotics Institute, Carnegie Mellon University
Project
Developmental Legged Intelligence: from Imitation to Generation
Popular methods that enable robot learning from limited demonstrations.
Mar 5, 2024 4:00 PM
AI4CE Lab, New York University
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Project
Project
2023
Learning from Limited Demonstrations: Lessons We have Learned
Popular methods that enable robot learning from limited demonstrations.
Nov 15, 2023 11:00 AM
Learning & Adaptive Systems Group, ETH Zurich
Project
Project
Project
Reducing Human Efforts in Reinforcement Learning for Legged Skill Development
Works that propose possible solutions to reduce such human involvement, specifically with examples of legged skill development using model-free reinforcement learning and imitation learning methods.
Jan 12, 2023 4:00 PM
Biomimetic Robotics Lab, Massachusetts Institute of Technology
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Project
Project
2022
Reducing Human Efforts for Expert Acquisition in Imitation Learning
Methods that allow skill transfer from limited and noisy reference demonstrations.
Dec 2, 2022 5:00 PM
Machines in Motion Laboratory, New York University
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Project
Learning Agile Skills via Adversarial Imitation of Rough Partial Demonstrations
A method for inferring imitation signals from poor expert demonstrations.
Aug 10, 2022 3:00 PM
Robotic Systems Lab, ETH Zurich
Project
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