Achieving animal endurance in robots through advanced energy storage

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

引用次数: 0

Abstract

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.

查看原文本刊更多论文

通过先进的能量存储实现机器人的动物耐力

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

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.