SOURCE-LINKED INTELLIGENCE
PredActor: Predictive Action Diffusion for Steerable Onboard Humanoid Control
Diffusion models offer flexible motion generation, but translating this flexibility into feedback-responsive humanoid control remains challenging. Hierarchical systems steer motion through references that may exceed a separate tracker's capabilities, leaving recovery and physical execution largely to the tracker. Action-only diffusion generates actions directly but lacks an explicit future-state trajectory for test-time motion objectives. Joint state-action diffusion provides this representation, yet representative controllers often depend on privileged full-body states, and support for learne
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-21T16:20:25.000Z
First collected: 2026-09-23T06:11:12.848Z. This is not the publication date.