English(EN) Adaptive Companionship for Group-Following Robots: Handling Dynamically Changing Group Formations

机器人利用视觉语言模型实现自适应群体陪伴

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-03 04:00

研究人员开发了一种新的方法，使社交机器人能够自适应地陪伴人类群体，即使在队形动态变化的情况下也能做到。该方法利用视觉语言模型（VLMs）来解释群体动态、推断位置并保持适当的社交距离。VLM与模型预测路径积分（MPPI）控制器集成，以确保稳定性和安全性。实验结果显示，与现有方法相比，成功率提高了15%，碰撞率降低了25%，用户研究表明机器人的陪伴行为被认为是自然的。 AI

影响这项研究可能带来更复杂、更自然的协作环境中的人机交互。

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

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Cong-Thanh Vu, Yen-Chen Liu · 2026-07-03 04:00

面向群体跟随机器人自适应陪伴：处理动态变化的群体编队

arXiv:2607.01287v1 Announce Type: cross Abstract: Accompanying a group of humans is an essential aspect of developing human-like social cognition in robots. However, human groups typically do not follow fixed formations, which poses significant challenges for robots in maintainin…

本文如何被排名

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面向群体跟随机器人自适应陪伴：处理动态变化的群体编队

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