推进自主软体机器人的物理智能

IF 26.1 1区计算机科学 Q1 ROBOTICS

Science Robotics Pub Date : 2025-05-28 DOI:10.1126/scirobotics.ads1292

Chi Chen, Pengju Shi, Zixiao Liu, Sidi Duan, Muqing Si, Chuanwei Zhang, Yingjie Du, Yichen Yan, Timothy J. White, Rebecca Kramer-Bottiglio, Metin Sitti, Tetsuya Iwasaki, Ximin He

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引用次数: 0

摘要

实现逼真的自主性仍然是一个长期的愿望，但迄今为止，软体机器人大多展示了基本的物理智能，依赖于操纵外部刺激来产生连续的运动。为了实现能够自我调节感知、决策和驱动的自主物理智能（API），一种很有前途的方法是在材料中嵌入非线性时滞反馈，其中恒定的刺激引起延迟响应以实现自主运动。本综述探讨了这种反馈机制，追溯了物理智能机器人的演变，概述了在不同环境下在软机器人中嵌入API的策略，并进一步讨论了简单运动之外的挑战和未来方向。

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Advancing physical intelligence for autonomous soft robots

Achieving lifelike autonomy remains a long-term aspiration, yet soft robots so far have mostly demonstrated rudimentary physical intelligence that relies on manipulation of external stimuli to generate continuous motion. To realize autonomous physical intelligence (API) capable of self-regulated sensing, decision-making, and actuation, a promising approach is creating nonlinear time-lag feedback embedded within materials, where a constant stimulus elicits delayed responses to enable autonomous motion. This Review explores such feedback mechanisms, traces the evolution of physically intelligent robots, outlines strategies for embedding API in soft robots under diverse environments, and further discusses challenges and future directions beyond simple locomotion.

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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.