6 papers · 1 filter
Scaling Bimanual Household Manipulation from 1,500 hours of Demonstrations to On-Policy Corrections
Jiafeng Xu, Qi Li, Yan Shen +7
Learning generalist policies for robust bimanual manipulation is bottlenecked by the scarcity of high quality large scale human demonstration data. In this work, we release 1,500 h…
EBT-Policy: Energy Unlocks Emergent Physical Reasoning Capabilities
Travis Davies, Yiqi Huang, Alexi Gladstone +5
Implicit policies parameterized by generative models, such as Diffusion Policy, have become the standard for policy learning and Vision-Language-Action (VLA) models in robotics. Ho…
Tenma: Robust Cross-Embodiment Robot Manipulation with Diffusion Transformer
Travis Davies, Yiqi Huang, Yunxin Liu +3
Scaling Transformer policies and diffusion models has advanced robotic manipulation, yet combining these techniques in lightweight, cross-embodiment learning settings remains chall…
Spatial RoboGrasp: Generalized Robotic Grasping Control Policy
Yiqi Huang, Travis Davies, Jiahuan Yan +3
Achieving generalizable and precise robotic manipulation across diverse environments remains a critical challenge, largely due to limitations in spatial perception. While prior imi…
RoboGrasp: A Universal Grasping Policy for Robust Robotic Control
Yiqi Huang, Travis Davies, Jiahuan Yan +3
Imitation learning and world models have shown significant promise in advancing generalizable robotic learning, with robotic grasping remaining a critical challenge for achieving p…
Generalized Robot Learning Framework
Jiahuan Yan, Zhouyang Hong, Yu Zhao +4
Imitation based robot learning has recently gained significant attention in the robotics field due to its theoretical potential for transferability and generalizability. However, i…