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Michelle Lu

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

Isaac Gym: High Performance GPU Based Physics Simulation For Robot Learning

NeurIPS 2021poster

Isaac Gym offers a high-performance learning platform to train policies for a wide variety of robotics tasks entirely on GPU. Both physics simulation and neural network policy training reside on GPU and communicate by directly passing data from physics buffers to PyTorch tensors without ever going t…

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