Robotics

Parkour for Humanoids, Powered by Vision

Kari Jaaskelainen

13 Jan 2026 — 1 min read

Humanoid robots aren’t just walking anymore—they’re vaulting, dive‑rolling, and navigating messy ground like a traceur. “Deep Whole‑body Parkour” blends two worlds: smart footstep planning and full‑body skill tracking, so a single policy uses what it sees to coordinate hands, feet, and torso on uneven terrain.

Integrates exteroceptive sensing (seeing the terrain) directly into whole‑body control.
Trains one policy to perform multiple dynamic skills across varied obstacles.
Enables robust multi‑contact moves—far beyond simple walking or running.

Why it matters: Most systems either walk well or mimic complex motions in lab settings. This work unifies both, unlocking high‑agility behaviors in the wild—think parkour for humanoids.

Learn more and watch results: https://project-instinct.github.io/deep-whole-body-parkour • Paper: https://arxiv.org/abs/2601.07701v1

By Ziwen Zhuang, Shaoting Zhu, Mengjie Zhao, Hang Zhao

Paper: https://arxiv.org/abs/2601.07701v1

Register: https://www.AiFeta.com

Robotics AI Humanoid Parkour ReinforcementLearning ComputerVision MotionControl

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