English(EN) Humanoid Safe Stop via Learned Stoppability Value

新框架增强人形机器人紧急停止功能

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-03 04:00

研究人员开发了一个名为 Safe-Stop 的新框架，用于人形机器人更有效地处理紧急停止命令。该系统集成了学习到的停止策略以及可停止性和避障的学习估计器。Safe-Stop 仅在两个估计器都确认可行时才启动停止，否则将默认采用阻尼回退策略。这种方法确保了在不影响反应性的情况下做出鲁棒的决策。 AI

影响在关键情况下增强了人形机器人的安全性和可靠性。

排序理由关于机器人新框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Junfeng Long, Pieter Abbeel, Koushil Sreenath, Roberto Horowitz, Guanya Shi, C. Karen Liu · 2026-09-03 04:00

通过学习到的可停止性值实现人形机器人安全停止

arXiv:2609.02358v1 Announce Type: cross Abstract: Humanoid robots responding to emergency stop commands typically execute a fixed maneuver, without reasoning about whether a safe stop is actually feasible from the current state. We cast emergency stopping as a reach-avoid problem…