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New Two Minute Papers episode covering our work combining reinforcement learning + differentiable physics simulation for locomotion! Paper here: short-horizon-actor-critic.github.io Jie Xu @RSS ViktorM🇺🇦 Animesh Garg

✨ I've (finally) released the source code for our TOG/ACM SIGGRAPH 2022 paper "DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact." 👕👒🧦👗 💻 github.com/omegaiota/Diff… Check out our paper if you haven't already 👇🏻 📃 dl.acm.org/doi/10.1145/35…

We will release a new version of the simulator with enabling differentiable tactile simulation that will appear in CoRL 2022. Diff RedMax code: github.com/eanswer/DiffHa… Diff Tactile Sim paper: openreview.net/forum?id=6BIff…

Welcome to check out our latest work at SIGGRAPH Asia on leveraging physics-based simulation for sequence and trajectory planning for high-accuracy assembly task including but not limited to challenging tasks like screw and multi-part puzzle solving.

Happy new year everyone and we are excited to release the code for our CoRL 2022 tactile simulator paper: github.com/eanswer/Tactil… Welcome to check out the code and try the new version of the DiffRedMax simulator.

Our Seattle #Robotics Lab introduces a new, faster, & more efficient method for teaching robot manipulation tasks in real-life scenarios — like opening drawers or dispensing soap — training 36x faster than the current standard. #NVIDIAResearch Learn more: nvda.ws/3pvKeCG

Super excited to attend #CoRL2023! Looking forward to connecting with the robotics community, would love to chat if you are around 😀 We are presenting: RVT: github.com/nvlabs/rvt Shelving, Stacking, Hanging: github.com/anthonysimeono…

CoRL week Conference on Robot Learning

Check out our new work AHAC which proposes a novel efficient policy learning algorithm leveraging differentiable simulations. AHAC improves over its precedent SHAC by its stability, convergence speed, and insensitivity to simulation parameters.

Attending RSS this week. Looking forward to seeing latest Robotics advances! 🦾