4 papers
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…
CoinRobot: Generalized End-to-end Robotic Learning for Physical Intelligence
Yu Zhao, Huxian Liu, Xiang Chen +3
Physical intelligence holds immense promise for advancing embodied intelligence, enabling robots to acquire complex behaviors from demonstrations. However, achieving generalization…
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…
Spatially Visual Perception for End-to-End Robotic Learning
Travis Davies, Jiahuan Yan, Xiang Chen +4
Recent advances in imitation learning have shown significant promise for robotic control and embodied intelligence. However, achieving robust generalization across diverse mounted…