Search Results for author:
Found 6 papers, 2 papers with code
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.
Stabilize to Act: Learning to Coordinate for Bimanual Manipulation
We counteract this challenge by drawing inspiration from humans to propose a novel role assignment framework: a stabilizing arm holds an object in place to simplify the environment while an acting arm executes the task.
Learning Bimanual Scooping Policies for Food Acquisition
In order to acquire foods with such diverse properties, we propose stabilizing food items during scooping using a second arm, for example, by pushing peas against the spoon with a flat surface to prevent dispersion.
Solving Compositional Reinforcement Learning Problems via Task Reduction
We propose a novel learning paradigm, Self-Imitation via Reduction (SIR), for solving compositional reinforcement learning problems.
Viscoelasticity enables self-organization of bacterial active matter in space and time
Active matter consists of units that generate mechanical work by consuming energy.
Soft Condensed Matter Biological Physics Fluid Dynamics
Learning to Manipulate Deformable Objects without Demonstrations
Second, instead of jointly learning both the pick and the place locations, we only explicitly learn the placing policy conditioned on random pick points.
