机器人
稳健性(进化)
计算机科学
帧(网络)
人工智能
生物
电信
生物化学
基因
作者
Samuel A. Burden,Thomas Libby,Kaushik Jayaram,Simon Sponberg,J. Maxwell Donelan
出处
期刊:Science robotics
[American Association for the Advancement of Science (AAAS)]
日期:2024-04-24
卷期号:9 (89)
被引量:1
标识
DOI:10.1126/scirobotics.adi9754
摘要
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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