[NeurIPS 2024] CLOVER: Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation
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Updated
Nov 17, 2024 - Python
[NeurIPS 2024] CLOVER: Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation
Movement Primitive Diffusion (MPD) is a diffusion-based imitation learning method for high-quality robotic motion generation that focuses on gentle manipulation of deformable objects.
Official Tensorflow implementation of 'Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives'
We use visual data alone to learn a control policy for a robotic arm by observing expert video demonstrations. We implement and test several models, accomplishing an 85% success rate for a pick-and-place task.
This repository contains the code and data used for the research titled "A lateralized motor network in order to understand adaptation to visuomotor rotation" published in Journal of Neural Engineering.
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