视觉主动性：通过意图沟通增强人机协作
Visual Proactivity: Enhancing Human-Robot Collaboration Through Intent Communication
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中文总结 AI 辅助
本文提出视觉主动性方法，通过视觉反馈让机器人主动沟通意图，在人机交接场景中验证其能增强透明度和协作流畅性。
中文摘要 AI 辅助
随着机器人从执行重复性任务过渡到与人类协作，理解人类意图对于有效交互变得至关重要。预期能力使机器人能够预测人类行为，而主动性则使它们能够主动采取行动并引导人类行为朝向最优结果。尽管研究主要集中于机器人如何推断和响应人类意图，但对于机器人如何沟通自身意图的关注较少。本文引入了视觉主动性，一种新颖、简单而有效的方法，使机器人能够通过视觉反馈传达其意图，从而影响人类行为并增强透明度和流畅性。我们在人机交接场景中开发并评估了主动机器人行为，其中一项用户研究验证了人类对反应性、预期性和主动性行为的感知。结果表明，有效的视觉主动性促进了更好的对齐和协调，为更直观的人机协作铺平了道路。
英文摘要
As robots transition from performing repetitive tasks to collaborating with humans, understanding human intent becomes crucial to effective interaction. Anticipation enables robots to predict human actions, while proactivity allows them to take initiative and guide human behavior toward optimal outcomes. Although research has largely focused on how robots infer and respond to human intentions, less attention has been paid to how robots communicate their own intent. This paper introduces visual proactivity, a novel, simple yet effective approach that enables robots to communicate their intentions through visual feedback, influencing human behavior and enhancing transparency and fluency. We develop and evaluate proactive robotic behaviors in a human-to-robot handover scenario, where a user study validates human perception of reactive, anticipatory, and proactive behaviors. The results demonstrate that effective visual proactivity fosters better alignment and coordination, paving the way for more intuitive human-robot collaboration.
发表机构
- Institut de Robotica y Informatica Industrial (CSIC-UPC)（工业机器人信息研究所（CSIC-UPC））
- Universitat Politecnica de Catalunya - BarcelonaTech (UPC)（加泰罗尼亚理工大学）
机构由 AI 辅助整理，请以论文原文为准。
