Why animals can outrun robots

IF 26.1 1区计算机科学 Q1 ROBOTICS

Science Robotics Pub Date : 2024-04-24 DOI:10.1126/scirobotics.adi9754

Samuel A. Burden, Thomas Libby, Kaushik Jayaram, Simon Sponberg, J. Maxwell Donelan

引用次数: 0

Abstract

Animals are much better at running than robots. The difference in performance arises in the important dimensions of agility, range, and robustness. To understand the underlying causes for this performance gap, we compare natural and artificial technologies in the five subsystems critical for running: power, frame, actuation, sensing, and control. With few exceptions, engineering technologies meet or exceed the performance of their biological counterparts. We conclude that biology’s advantage over engineering arises from better integration of subsystems, and we identify four fundamental obstacles that roboticists must overcome. Toward this goal, we highlight promising research directions that have outsized potential to help future running robots achieve animal-level performance.

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动物为何能跑赢机器人

动物比机器人更擅长奔跑。性能上的差异体现在敏捷性、续航能力和稳健性等重要方面。为了了解造成这种性能差距的根本原因，我们比较了自然技术和人工技术在对奔跑至关重要的五个子系统中的表现：动力、框架、驱动、传感和控制。除少数例外，工程技术都达到或超过了生物技术的性能。我们的结论是，生物技术比工程技术的优势在于能更好地整合子系统，我们还指出了机器人专家必须克服的四个基本障碍。为了实现这一目标，我们强调了一些有前途的研究方向，这些方向具有巨大的潜力，可以帮助未来的跑步机器人达到动物级别的性能。

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.