FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning
Sep 1, 2023
Chenhao Li
Reinforcement Learning for Robotics
My research interests focus on the general field of robot learning, including reinforcement learning, developmental robotics and legged intelligence.
Publications
In this work, we propose a self-supervised, structured representation and generation method that extracts spatial-temporal relationships in periodic or quasi-periodic motions.
Chenhao Li, Elijah Stanger-Jones, Steve Heim, Sangbae Kim
Events
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
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
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
Popular methods that enable robot learning from limited demonstrations.
Mar 5, 2024 4:00 PM
AI4CE Lab, New York University
Popular methods that enable robot learning from limited demonstrations.
Nov 15, 2023 11:00 AM
Learning & Adaptive Systems Group, ETH Zurich