通过先进的能量存储实现机器人的动物耐力

IF 26.1 1区计算机科学 Q1 ROBOTICS

Science Robotics Pub Date : 2025-04-30 DOI:10.1126/scirobotics.adr6125

Yichao Shi, James H. Pikul

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引用次数: 0

摘要

仿生移动机器人的移动效率与动物机器人相当，但由于电池的限制，在系统级能量密度上落后一个数量级以上。这篇评论量化了这种能量差距，评估了硬件优势和当前电池的弱点，并为未来的技术提出了基准框架。以Spot为例，我们确定了与动物体内能量储存相匹配的电池化学物质，并提出了释放机器人耐力的技术。

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Achieving animal endurance in robots through advanced energy storage

Bioinspired mobile robots move with comparable efficiency to their animal counterparts but lag by more than an order of magnitude in system-level energy density because of battery limitations. This Review quantifies this energy gap, evaluates hardware strengths and current battery weaknesses, and proposes benchmarking frameworks for future technologies. Using Spot as a case study, we identify the battery chemistries needed to match the energy storage in animals and propose technologies to unleash robotic endurance.

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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.