Factory: Fast Contact for Robotic Assembly

1 code implementation • 7 May 2022 • Yashraj Narang, Kier Storey, Iretiayo Akinola, Miles Macklin, Philipp Reist, Lukasz Wawrzyniak, Yunrong Guo, Adam Moravanszky, Gavriel State, Michelle Lu, Ankur Handa, Dieter Fox

We aim for Factory to open the doors to using simulation for robotic assembly, as well as many other contact-rich applications in robotics.

Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning

4 code implementations • 24 Sep 2021 • Nikita Rudin, David Hoeller, Philipp Reist, Marco Hutter

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.

reinforcement-learning Reinforcement Learning (RL)