Robotics researcher to students: master coordinate frames, SE(3), and kinematics before deep learning
YuXiang_IRVL · x · 2026-10-14
Yu Xiang (IRVL) advises robotics students to solidly understand coordinate frames, SE(3) transformations, and robot kinematics. Robot learning isn't just training models on data: robot data carries physical meaning, and understanding the underlying geometry is essential — a pushback against the 'end-to-end everything' mindset.
More from Embodied
- Robot uses MuJoCo as a tool for kinematics and motion planning, succeeds in 6 real-world trials — ki_ki_ki1 · 2026-10-14
- Startup Squad Turns Idea Into Robot-Drawn Brooklyn Bridge Sketch in 30 Minutes — davidfromkansas · 2026-10-14
- Stream Ring, an AI wearable three years in the making, starts shipping next month — pzakin · 2026-10-14
- Dyna-2 Robots Predict the Future: Million-Hour World Models and the Bitter Lesson of Robotics — JasonMa2020 · 2026-10-14
- AI2's MolmoAct 2 Tops Human-Preference Robot Rankings; 55K-Vote Dataset Open-Sourced — allen_ai · 2026-10-14
- Google's Gemini 4 Argon for robotics: simulation training lifts task success from 56% to 75% — DynamicWebPaige · 2026-10-14