The mink (MuJoCo inverse kinematics) doc revamp is finally live featuring a brand new tutorial section that starts from a minimal IK loop, shows exactly how and why it breaks (singularities, nullspace drift, etc.), and builds up to a robust formulation.https://t.co/1wiPyG0GNp

The pipeline: procedurally generate random scenes in MuJoCo, simulate their dynamics, auto-generate verified QA pairs — numeric, reverse, and symbolic. Then RL-train the LLM on this synthetic data. No human labeling anywhere in the loop.

MuJoCo Robotics Lab 7: Humanoid Walking Theory — LIPM, ZMP & Preview… | Rasim Ipek

Simulate Mobile Aloha in Mujoco