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GaitSpan framework enables humanoids to transition from walking to running

By PulseAugur Editorial · [1 sources] ·

Researchers have developed GaitSpan, a novel framework designed to expand a basic humanoid walking policy into more dynamic locomotion such as jogging and running. This approach treats walking as a foundational skill that can be adapted by regenerating motor structures at new rhythms, extending stride length, and correcting motion through residual adaptation. GaitSpan is the first to enable a single command-conditioned policy for humanoids to cover a continuous speed range from walking to running, demonstrating transferability across different morphologies and terrains without additional training. AI

IMPACT Enables more versatile and adaptable humanoid robots capable of a wider range of locomotion speeds and terrains.

RANK_REASON Academic paper detailing a new AI framework for robotics. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GaitSpan framework enables humanoids to transition from walking to running

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Academic paper detailing a new AI framework for robotics. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Kwan-Yee Lin, Zilin Wang, Janelle J. Liu, Stella X. Yu ·

    GaitSpan: Growing Humanoid Locomotion from Walking to Running

    arXiv:2607.12114v1 Announce Type: cross Abstract: A humanoid that can walk should not relearn locomotion from scratch to jog or run. Yet current approaches often obtain gait diversity by prescribing gait schedules, imitating motion clips, training experts to switch between or dis…

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