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One of the challenges in using #RL for #robotics is that skills learned by robots in simulation do not typically transfer well to real-world robots. IndustReal focuses on solving these skills and transferring these capabilities to the real world. nvda.ws/43t3m2J

We are excited to share our recent work, IndustReal arxiv.org/abs/2305.17110 (Bingjie Tang, Michael Lin et al.), for solving contact-rich assembly tasks in simulation and transferring them to the real world. sites.google.com/nvidia.com/ind… youtube.com/watch?v=wzcpkD…

🤖 AutoMate by #NVIDIAResearch is a new framework that trains #robots in assembly skills for real-world use, combining reinforcement and imitation learning for effective skill transfer. ➡️ nvda.ws/4cDAZDQ Read how you can make your robots more effective from sim to real.

Can robots leverage their entire body to sense and interact with their environment, rather than just relying on a centralized camera and end-effector? Introducing RoboPanoptes, a robot system that achieves whole-body dexterity through whole-body vision. robopanoptes.github.io

📢Time to upgrade your depth camera! Introducing **FoundationStereo**, a foundation model for stereo depth estimation in zero-shot (accepted to CVPR 2025 with full scores) [1/n] Code: github.com/NVlabs/Foundat… Website: nvlabs.github.io/FoundationSter… Paper: arxiv.org/abs/2501.09898

We study the problem of "functional retargeting": with one human demonstration, learn a dexterous hand policy to manipulate the object to follow the demonstrated trajectory. In contrast to kinematic retargeting which does not produce feasible actions, we use human hand guidance

Can we learn a 3D world model that predicts object dynamics directly from videos? Introducing Particle-Grid Neural Dynamics: a learning-based simulator for deformable objects that trains from real-world videos. Website: kywind.github.io/pgnd ArXiv: arxiv.org/abs/2506.15680

Excited to share I’m joining Tesla Optimus! Huge thanks to my advisor, Gaurav Sukhatme, labmates USC RESL, collaborators NVIDIA Robotics, and all the friends and family who supported me throughout my PhD.