Cybernetic Labs

A full MIT course on robot mechanics and control. If you're building or working with robotic systems, this one deserves a permanent bookmark.📌 Russ Tedrake's Underactuated Robotics at MIT covers the math and intuition behind how robots actually move — not just the surface level. No paywalls. No prerequisites gatekeeping. What it focuses on: - Nonlinear dynamics and stability for robotic systems - Trajectory optimization and motion planning - Reinforcement learning applied to locomotion and manipulation - Lyapunov methods and limit cycles for real control design - Worked examples with code across the full course Full textbook, lecture videos, and problem sets — all free. 📍 underactuated.mit.edu

🧐Applying world models to improve real-world policy on challenging manipulation tasks used to be considered out of reach. 😌After sustained effort, we’re now seeing encouraging progress. 🚀Thrilled to introduce RISE: Self-Improving Robot Policy with Compositional World Model opendrivelab.com/kai0-rl/ arxiv.org/abs/2602.11075 RISE is, to our knowledge, the first work to use a world model as an effective learning environment for challenging real-world manipulation, enabling policy improvement on tasks that demand high dynamics, dexterity, and precision. Incredible teamwork with @lin_kunyang111 @francislee2020 @YueXiangyu @HaoZhao_AIRSUN @smch_1127

Evaluation is a critical bottleneck in building robot foundation models. Check out our latest work RoboLab, led by @xuningy, which addresses this exact challenge. Its a high-fidelity simulation environment for testing these models. A truly generalist policy should be able to complete these tasks zero-shot, and this benchmark highlights exactly how far we still have to go. More info 👇