WORLDTECHRobotics SINGLE SOURCE
$\lambda_0$: Scaling Open-World Egocentric Human Data for Humanoid Loco-Manipulation
First reported Source: arXiv Robotics (cs.RO)Last editorial activity
What happened
arXiv:2610.18950v1 Announce Type: new Abstract: Humanoid loco-manipulation requires coordinated whole-body interaction with the physical world, yet collecting robot demonstrations at scale remains costly. Human demonstrations offer a scalable alternative, but existing egocentric human supervision often omits locomotion and posture, while embodiment differences and controller dynamics hinder accurate end-effector execution.
Increasing whole-body human data consistently improves downstream task progress. $\lambda_0$ achieves 90.0% success on SIMPLE and 62.5% across real-world loco-manipulation tasks.
Key facts
- arXiv:2610.18950v1 Announce Type: new Abstract: Humanoid loco-manipulation — requires: coordinated whole-body interaction with the physical world, yet collecting robot demonstrations at scale remains costly
Sources & evidence
- arXiv Robotics (cs.RO) Reporting source
$\lambda_0$: Scaling Open-World Egocentric Human Data for Humanoid Loco-Manipulation ↗
https://arxiv.org/abs/2610.18950