SOURCE-LINKED INTELLIGENCE
Frame-Coded Legged Locomotion over Noisy Terrain
Open-loop multilegged locomotion over rough terrain has been interpreted as matter transport over a noisy channel: leg-ground interactions are discrete basic active contacts, terrain deletes or perturbs those contacts, and spatial redundancy concentrates the resulting thrust and arrival time. That construction is repetition-like because every module carries the same scalar locomotion task. It consequently provides neither a positive task rate nor a decoder that changes with the surviving contact set. Here we formulate locomotion instead as a quantized finite-frame expansion with erasures. A d-
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-09T14:55:58.000Z
First collected: 2026-09-20T19:32:24.350Z. This is not the publication date.