1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2026
HumanScale: Egocentric Human Video Can Outperform Real-Robot Data for Embodied Pretraining
Juncheng Ma, Jianxin Bi, Yufan Deng +19
Embodied foundation models are expected to benefit from data scaling like large language models, but face a much tighter data bottleneck. Teleoperated real-robot trajectories remai…
cs.RO2024
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…
cs.LG2024★ 1 cited
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…