
Luis Felipe Casas
276 posts








This is a project we’ve been working on for a long time, and today we’re incredibly excited to share ComFree-Sim — a GPU-parallelized ANALYTICAL contact physics engine built to be lightweight for faster, scalable, dense-contact simulation. It’s a drop-in alternative to MuJoCo (same API) that skips iterative solves to keep dense-contact compute flat. 👇 ⚡ >2× higher throughput in dense-contact scenes vs. MuJoCo Warp 🎯 Comparable, highly tunable contact dynamics fidelity 🤖 Low-latency sim-predictive control for dexterous manipulation, humanoids, and more Faster, learnable physics unlocks more for closed-loop physical intelligence. Website, paper, and videos: irislab.tech/comfree-sim/ 🚀 ⏳ ComFree Warp drops this weekend. ComFree Jax coming soon! #Robotics #EmbodiedAI #Simulation #PhysicsEngine #DexterousManipulation #Humanoids #MuJoCo #GPU

Handed out 21 NVIDIA Jetson Orin Nano kits to students today. I did not realize downloading the JetPack 6.2 image would take so long. Most of the time was spent just downloading or copying the image file😅Only a few teams managed to get the system set up today.

Sim-to-real gap is not easy in dexterous manipulation. It’s hard to make sim and real match. We’re struggling to transfer a well-trained sim policy to the LEAP hand. We need real-world data for manipulation. Very impressive that @kevin_zakka made this work in MuJoCo Playground.




Attending the Texas Regional Robotics Symposium at UT Arlington today!












