Embodied intelligence paradigm for human-robot communication

IF 27.5 1区计算机科学 Q1 ROBOTICS

Science Robotics Pub Date : 2025-08-20 DOI:10.1126/scirobotics.ads8528

Nana Obayashi, Arsen Abdulali, Fumiya Iida, Josie Hughes

引用次数: 0

Abstract

Animals leverage their full embodiment to achieve multimodal, redundant, and subtle communication. To achieve the same for robots, they must similarly exploit their brain-body-environment interactions or their embodied intelligence. To advance this approach, we propose a framework building on Shannon’s information channel theory for communication to provide the key principles and benchmarks for advancing human-robot communication.

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人机交流的具身智能范式

动物充分利用它们的化身来实现多模式、冗余和微妙的交流。为了让机器人实现同样的目标，它们必须同样利用它们的大脑-身体-环境相互作用或它们的具身智能。为了推进这种方法，我们提出了一个基于Shannon通信信息通道理论的框架，为推进人机通信提供关键原则和基准。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Science Robotics Mathematics-Control and Optimization

CiteScore

30.60

自引率

2.80%

发文量

期刊介绍： Science Robotics publishes original, peer-reviewed, science- or engineering-based research articles that advance the field of robotics. The journal also features editor-commissioned Reviews. An international team of academic editors holds Science Robotics articles to the same high-quality standard that is the hallmark of the Science family of journals. Sub-topics include: actuators, advanced materials, artificial Intelligence, autonomous vehicles, bio-inspired design, exoskeletons, fabrication, field robotics, human-robot interaction, humanoids, industrial robotics, kinematics, machine learning, material science, medical technology, motion planning and control, micro- and nano-robotics, multi-robot control, sensors, service robotics, social and ethical issues, soft robotics, and space, planetary and undersea exploration.