SOURCE-LINKED INTELLIGENCE
RecMorph: Topology-Guided Spatial Recurrence for Generalized Morphology Control
Generalized morphology control requires a single policy to transform information across limbs with different physical roles, coordinate whole-body motion, and remain efficient as body size grows. Existing communication mechanisms address these requirements only partially. We introduce RecMorph, a topology-guided spatial recurrent architecture that uses recurrent sequence computation to jointly perform cross-limb communication and representation transformation. A depth-first traversal converts the kinematic tree into a morphology-derived sequence, along which shared bidirectional transitions pr
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T09:17:43.000Z
First collected: 2026-09-20T08:01:03.945Z. This is not the publication date.