English(EN) ProAct: Harnessing Streaming Motion Generation and Agentic Reasoning for Real-Time Embodied Social Interaction

ProAct框架实现实时具身社交互动

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

研究人员推出ProAct，一个用于实时具身社交互动的新型双系统框架。该系统集成了低延迟的行为系统，用于生成多模态互动，以及处理长时域社交推理和主动意图的认知系统。ProAct旨在满足连续流畅行为和主动决策在严格延迟预算内的苛刻要求。 AI

影响该框架通过实现更自然和主动的互动，有望提升机器人在复杂社交环境中的能力。

排序理由该集群包含一篇详细介绍具身社交互动新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 15 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇详细介绍具身社交互动新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

arXiv cs.CV TIER_1 English(EN) · Zeyi Zhang, Zixi Kang, Ruijie Zhao, Yusen Feng, Biao Jiang, Hanyu Ji, Libin Liu · 2026-09-04 04:00

ProAct：利用流式运动生成和代理推理实现实时具身社交互动

arXiv:2602.14048v2 Announce Type: replace-cross Abstract: Real-time embodied social interaction places two equally demanding requirements on an agent: continuously generating fluent multimodal interaction behavior, and proactively reasoning over accumulated dialogue and visual co…