Super-Scaled Motion Tracking Model Enables Natural Humanoid Movement
zhengyiluo · x · 2026-08-19
A new study in Science Robotics highlights how a super-scaled motion tracking model, trained on over 100 million frames of data, enables natural, whole-body movements in humanoid robots, demonstrating the potential of massive motion data for improving robotic locomotion.
More from Embodied
- Former Google Research Scientist Alex Toshev joins Wayve to lead General Robotics Intelligence — alexgkendall · 2026-08-19
- CFP: Continual World Models Workshop @ NeurIPS 2026 — cindy_x_wu · 2026-08-19
- Robotics' biggest hurdle may be endurance, not intelligence — aftahi_ai · 2026-08-19
- Foxglove, the robotics data platform, goes agentic — Sethwinterroth · 2026-08-19
- DynaRobotics podcast: scaling robot pretraining toward 1 million hours of data — chris_j_paxton · 2026-08-19
- Entertainment Is the First Mass Market for Humanoid Robots — chris_j_paxton · 2026-08-19