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Philipp Reist

2 accepted papers

2022

Factory: Fast Contact for Robotic Assembly

RSS 2022poster

Robotic assembly is one of the oldest and most challenging applications of robotics. In other areas of robotics, such as perception and grasping, simulation has rapidly accelerated research progress, particularly when combined with modern deep learning. However, accurately, efficiently, and robustly…

2021

Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning

CoRL 2021poster

In this work, we present and study a training set-up that achieves fast policy generation for real-world robotic tasks by using massive parallelism on a single workstation GPU. We analyze and discuss the impact of different training algorithm components in the massively parallel regime on the final…

Cited by 668SourceScholar