Vision as Proprioception: Estimating Humanoid Robot Pose from Video
Estimating a humanoid robot's internal state from video has a wide range of real-world applications but remains unexplored.
ProofPaper ↗
Key points
- To address these issues, we present HumanoidPose, a new framework that treats vision as proprioception to recover full-body joint configurations in world space from video alone.
- We retarget human motions to sixteen different humanoid embodiments, enabling scalable learning entirely from synthetic data.
- To improve real-world generalization, we further leverage unlabeled online videos through self-training to develop a 2D robot-pose detector.
- HumanoidPose enables visual understanding of other robots during interaction and extraction of robot motion from online and generated videos.
Sources (2)
- [1]Vision as Proprioception: Estimating Humanoid Robot Pose from VideoHugging Face Daily Papers · Oct 18, 12:00 AM
Estimating a humanoid robot's internal state from video has a wide range of real-world applications but remains unexplored.
To address these issues, we present HumanoidPose, a new framework that treats vision as proprioception to recover full-body joint configurations in world space from video alone.
- [2]Vision as Proprioception: Estimating Humanoid Robot Pose from VideoarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 18, 02:10 PM · same content
Extractive summary: sentences quoted from the sources.
Before this
- Oct 17, 2026Ben-Misandry: A Bengali Dataset and Late-Fusion Transformer Framework for Detecting Anti-Male Gender Hate
- Oct 16, 2026Video Diffusion Avatars: Taming Video Diffusion Models into Controllable 3D Avatars
- Oct 16, 2026MOSS-Image Technical Report
- Oct 16, 2026StopWatch: Goal Grounding for Object-goal Navigation
- Oct 15, 2026Dexterity from Supervised Play
- Oct 15, 2026RAG-RST: Retrieved Exemplars as In-Context Discourse Schema for RST Parsing