Robotics

CAPEX: Efficiently Distilling Foundation Model Behavior into Deployable Robot Policies through Experience-Adaptive Reasoning
An experience-adaptive framework that uses a multimodal foundation model as an autonomous robot demonstrator to collect deployable policy training data at a fraction of the cost.
Shivam Aarya, Zhang Xi-Jia, Chengyue Huang, Junhyun Kim, Huishu Xue, Hrishit Leen, Roman Yakunin, Animesh Garg, Zsolt Kira
Cite arXiv
CAPEX: Efficiently Distilling Foundation Model Behavior into Deployable Robot Policies through Experience-Adaptive Reasoning
SeeTraceAct: Visibility-Aware Latent Planning from Cross-Embodiment Demonstration Videos
A demo-conditioned VLA framework for visibility-aware latent planning from cross-embodiment demonstration videos.
Jaehyeon Son, Junhyun Kim, Kyle Kam, Jeremiah Coholich, Seok Joon Kim, Jinhoo Kim, Chris Dongjoo Kim, Jaemin Cho, Dieter Fox, Zsolt Kira
Cite Project arXiv
SeeTraceAct: Visibility-Aware Latent Planning from Cross-Embodiment Demonstration Videos