5 citations · 10 across the 12 of their papers we have counts for
4 papers · 1 filter
Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers
Jianxin Bi, Kelvin Lim, Kaiqi Chen +2
Recent advances in diffusion-based robot policies have demonstrated significant potential in imitating multi-modal behaviors. However, these approaches typically require large quan…
Octopi: Object Property Reasoning with Large Tactile-Language Models
Samson Yu, Kelvin Lin, Anxing Xiao +2
Physical reasoning is important for effective robot manipulation. Recent work has investigated both vision and language modalities for physical reasoning; vision can reveal informa…
DISCO: Language-Guided Manipulation with Diffusion Policies and Constrained Inpainting
Ce Hao, Kelvin Lin, Zhiwei Xue +2
Diffusion policies have demonstrated strong performance in generative modeling, making them promising for robotic manipulation guided by natural language instructions. However, gen…
Don't Start from Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion
Kaiqi Chen, Eugene Lim, Kelvin Lin +2
Imitation learning empowers artificial agents to mimic behavior by learning from demonstrations. Recently, diffusion models, which have the ability to model high-dimensional and mu…