用活性物质理论提升仿生机器人集群的协同效率。
Active Matter as a framework for living systems-inspired Robophysics
- 引入活性物质物理模型优化机器人集体行为设计
- 解决个体运动效率与群体协作成本难题
- 适合研究机器人集群与生物系统协同的学者
机器人物理学研究在复杂真实环境中运行的类生命机器人的物理原理。尽管技术进步显著，机器人仍面临根本性效率瓶颈：个体层面运动困难，群体层面难以实现共同目标、协调、通信和成本效益。本文探讨仿生机器人集体面临的核心挑战，强调将活性物质物理与生物学原理融入机器人集群建模与设计的最新研究进展。
原文摘要 · Abstract (English)
Robophysics investigates the physical principles that govern living-like robots operating in complex, realworld environments. Despite remarkable technological advances, robots continue to face fundamental efficiency limitations. At the level of individual units, locomotion remains a challenge, while at the collective level, robot swarms struggle to achieve shared purpose, coordination, communication, and cost efficiency. This perspective article examines the key challenges faced by bio-inspired robotic collectives and highlights recent research efforts that incorporate principles from active-matter physics and biology into the modeling and design of robot swarms.
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