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Found 5 papers, 0 papers with code
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning
Reinforcement Learning is a promising tool for learning complex policies even in fast-moving and object-interactive domains where human teleoperation or hard-coded policies might fail.
Learning Generalizable Tool-use Skills through Trajectory Generation
We propose to learn a generative model of the tool-use trajectories as a sequence of tool point clouds, which generalizes to different tool shapes.
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation
Effective planning of long-horizon deformable object manipulation requires suitable abstractions at both the spatial and temporal levels.
Imitating, Fast and Slow: Robust learning from demonstrations via decision-time planning
The goal of imitation learning is to mimic expert behavior from demonstrations, without access to an explicit reward signal.
Robust Imitation via Decision-Time Planning
The goal of imitation learning is to mimic expert behavior from demonstrations, without access to an explicit reward signal.
