SOURCE-LINKED INTELLIGENCE
ViBe: Visual Behavior Adaptation for Perceptive Humanoid Whole-Body Control
Motion tracking provides a scalable recipe for humanoid whole-body control. By design, the resulting trackers lack exteroceptive feedback hence reacting to the environment remains the responsibility of a higher-level planner. Existing perceptive controllers train geometry-only encoders from scratch, trading semantics for sim-to-real ease, and typically rely on teacher-student distillation for a task of interest. We present ViBe, a post-training framework for adapting motion trackers to perceptive control tasks. We leverage pre-trained visual encoders with a multi-query extractor module to lear
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-09T09:11:26.000Z
First collected: 2026-09-20T19:32:24.350Z. This is not the publication date.