78 citations · 160 across the 11 of their papers we have counts for
4 papers · 1 filter
Demonstrating Multi-Suction Item Picking at Scale via Multi-Modal Learning of Pick Success
Che Wang, Jeroen van Baar, Chaitanya Mitash +6
This work demonstrates how autonomously learning aspects of robotic operation from sparsely-labeled, real-world data of deployed, engineered solutions at industrial scale can provi…
Adapting Image-based RL Policies via Predicted Rewards
Weiyao Wang, Xinyuan Fang, Gregory D. Hager
Image-based reinforcement learning (RL) faces significant challenges in generalization when the visual environment undergoes substantial changes between training and deployment. Un…
Domain Adaptation of Visual Policies with a Single Demonstration
Weiyao Wang, Gregory D. Hager
Deploying machine learning algorithms for robot tasks in real-world applications presents a core challenge: overcoming the domain gap between the training and the deployment enviro…
VIHE: Virtual In-Hand Eye Transformer for 3D Robotic Manipulation
Weiyao Wang, Yutian Lei, Shiyu Jin +2
In this work, we introduce the Virtual In-Hand Eye Transformer (VIHE), a novel method designed to enhance 3D manipulation capabilities through action-aware view rendering. VIHE aut…