arXiv:2510.26132cs.RO2025-10中稿 · ICAR 2025

通过结构与环境互动实现智能行为,推动微型机器人自适应进化。

Embodied Intelligence for Advanced Bioinspired Microrobotics: Examples and Insights

  • 将结构形态与控制逻辑一体化设计,实现无需复杂计算的智能运动。
  • 多个微型机器人平台在无中央处理器下完成自主导航与环境响应。
  • 适合对低功耗、高鲁棒性微型机器人感兴趣的科研与工程人员。

具身智能(Embodied Intelligence, EI)强调将机体形态、材料特性、与环境交互及控制策略整合于机器人设计中,以生成智能行为,特别是运动与导航能力。本文探讨了将EI作为先进微机器人设计原则,重点聚焦协同设计——即物理结构与功能行为的同时、相互依赖开发。为对比传统将感知、计算与执行分离的架构,作者团队在自主微机器人系统实验室(AMSL)开发了一系列机器人,包括Bee++、RoBeetle、SMALLBug、SMARTI、WaterStrider、VLEIBot+和FRISSHBot。这些系统展现出由结构动力学和组件间物理交互所催生的智能行为。通过将反馈回路、决策逻辑、传感机制与智能驱动策略嵌入物理构造,证明协同设计不仅是约束下的优化方法,更是实现具身智能的途径,为毫米至厘米尺度机器人提供可扩展、鲁棒的替代经典控制的解决方案。

原文摘要 · Abstract (English)

The term embodied intelligence (EI) conveys the notion that body morphology, material properties, interaction with the environment, and control strategies can be purposefully integrated into the process of robotic design to generate intelligent behavior; in particular, locomotion and navigation. In this paper, we discuss EI as a design principle for advanced microrobotics, with a particular focus on co-design -- the simultaneous and interdependent development of physical structure and behavioral function. To illustrate the contrast between EI-inspired systems and traditional architectures that decouple sensing, computation, and actuation, we present and discuss a collection of robots developed by the author and his team at the Autonomous Microrobotic Systems Laboratory (AMSL). These robots exhibit intelligent behavior that emerges from their structural dynamics and the physical interaction between their components and with the environment. Platforms such as the Bee++, RoBeetle, SMALLBug, SMARTI, WaterStrider, VLEIBot+, and FRISSHBot exemplify how feedback loops, decision logics, sensing mechanisms, and smart actuation strategies can be embedded into the physical properties of the robotic system itself. Along these lines, we contend that co-design is not only a method for empirical optimization under constraints, but also an enabler of EI, offering a scalable and robust alternative to classical control for robotics at the mm-to-cm-scale.

具身智能微机器人协同设计仿生机器人

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