Yashraj Narang

I am a robotics research manager at NVIDIA Research. I lead the Simulation and Behavior Generation (SBG) team within the Seattle Robotics Lab (SRL), which is directed by Dieter Fox. My team currently focuses on learned simulators, automated data generation, reinforcement learning, imitation learning, force and tactile sensing, high-performance control, and sim-to-real transfer. We are exploring applications to multi-step tabletop manipulation, robotic assembly, dexterous manipulation with anthropomorphic hands, and humanoids.

Note: The Publications section below is incomplete. Please see Google Scholar for a complete list of publications and patents.

Research Area(s)

Artificial Intelligence and Machine Learning

Generative AI

Physical AI

Robotics

Main Field of Interest

Robotics

Google Scholar

https://scholar.google.com/citations?hl=en&user=M3NuG7AAAAAJ&view_op=list_works…

Publications

2023

DeXtreme: Transfer of Agile In-Hand Manipulation from Simulation to Reality

Ankur Handa, Arthur Allshire, Viktor Makoviychuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Alexander Zhurkevich, Balakumar Sundaralingam, Yashraj Narang, Jean-Francois Lafleche, Dieter Fox, Gavriel State

https://arxiv.org/abs/2210.13702

DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets

Isabella Huang, Yashraj Narang, Ruzena Bajcsy, Fabio Ramos, Tucker Hermans, Dieter Fox

IEEE International Conference on Robotics and Automation (ICRA)

IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality

Bingjie Tang, Michael A. Lin, Iretiayo Akinola, Ankur Handa, Gaurav S. Sukhatme, Fabio Ramos, Dieter Fox, Yashraj Narang

Paper

2022

Factory: Fast Contact for Robotic Assembly

Yashraj Narang, Kier Storey, Iretiayo Akinola, Miles Macklin, Philipp Reist, Lukasz Wawrzyniak, Yunrong Guo, Adam Moravanszky, Gavriel State, Michelle Lu, Ankur Handa, Dieter Fox

Accelerated Policy Learning with Parallel Differentiable Simulation

Jie Xu, Viktor Makoviychuk, Yashraj Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, Miles Macklin

International Conference on Learning Representations (ICLR) 2022

DefGraspSim: Physics-Based Simulation of Grasp Outcomes on 3D Deformable Objects

Isabella Huang, Yashraj Narang, Clemens Eppner, Balakumar Sundaralingam, Miles Macklin, Ruzena Bajcsy, Tucker Hermans, Dieter Fox

IEEE Robotics and Automation Letters