1 citations · 1 across the 5 of their papers we have counts for
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Agent Priors-guided Policy Learning
Puming Jiang, Tianrun Hu, Haozhe Du +4
Robots that learn from a few demonstrations often require two forms of generalization. Compositional generalization recombines skills to solve new tasks, and skill generalization l…
Receding-Horizon Pushing with Composable Object-Centric Policies
Zhiyi Yuan, Tianrun Hu, Anxing Xiao +3
Non-prehensile manipulation is practical for relocating large, heavy, or geometrically ungraspable objects. Yet, long-horizon pushing of arbitrarily-shaped 3D objects couples three…
Hypothesis-driven Model Expansion under Uncertainty for Open-World Robot Planning
Anxing Xiao, Hanbo Zhang, Tianrun Hu +1
We consider an open-world planning setting in which service robots must operate in unknown environments with incomplete knowledge of objects and actions. Traditional closed-world a…
Visibility-Aware Mobile Grasping in Dynamic Environments
Tianrun Hu, Anxing Xiao, David Hsu +1
We consider mobile grasping in unknown and dynamic environments, where a robot must approach and grasp a target object using a camera with a limited field of view. This setting int…