Physical Intelligence in Small‐Scale Robots and Machines

Intelligent living organisms-from unicellular entities to plants-rely on body physical intelligence (PI) to autonomously adapt and thrive in dynamic and complex environments, bypassing neural processing. The paradigm of PI has become a pivotal framework for small-scale mobile robots and machines, where they have limited onboard powering, actuation, perception, computation, and control. However, the emerging PI capabilities remain rudimentary compared to biological counterparts in adaptability, multifunctionality, and evolvability. Here, the review systematically examines PI in small-scale mobile robots and machines, highlight the importance of PI in extreme environments, elucidate hierarchical PI manifestations, identify current challenges and future opportunities for further promoting the evolution of PI. Notably, Current research emphasizes that the human body, featuring confined spaces, active and uncertain fluid and organ movements, immunological reactions, and heterogeneous physicochemical conditions, can be an ultimate testing ground for the next-generation small-scale robotic systems with more advanced PI. Looking forward, the rapid evolution of PI benefits from the convergence of multiple disciplines, such as robotics, mechanics, materials, chemistry, biology, and medicine, toward creating autonomous intelligent machines for real-world applications.

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Institutions

Publication Details

Journal
Advanced Materials
Published
2025-10-17
DOI
https://doi.org/10.1002/adma.202510332
Citations
1
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
1.26

Funders

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article

Physical Intelligence in Small‐Scale Robots and Machines

Huyue Chen, Metin Sitti
1 citations
Advanced Materials
Micro and Nano Robotics
1.26
article

Physical Intelligence in Small‐Scale Robots and Machines

Huyue Chen, Metin Sitti
article en
1 citations

Abstract

Intelligent living organisms-from unicellular entities to plants-rely on body physical intelligence (PI) to autonomously adapt and thrive in dynamic and complex environments, bypassing neural processing. The paradigm of PI has become a pivotal framework for small-scale mobile robots and machines, where they have limited onboard powering, actuation, perception, computation, and control. However, the emerging PI capabilities remain rudimentary compared to biological counterparts in adaptability, multifunctionality, and evolvability. Here, the review systematically examines PI in small-scale mobile robots and machines, highlight the importance of PI in extreme environments, elucidate hierarchical PI manifestations, identify current challenges and future opportunities for further promoting the evolution of PI. Notably, Current research emphasizes that the human body, featuring confined spaces, active and uncertain fluid and organ movements, immunological reactions, and heterogeneous physicochemical conditions, can be an ultimate testing ground for the next-generation small-scale robotic systems with more advanced PI. Looking forward, the rapid evolution of PI benefits from the convergence of multiple disciplines, such as robotics, mechanics, materials, chemistry, biology, and medicine, toward creating autonomous intelligent machines for real-world applications.

Advanced MaterialsVol. 38(12)
Koç University (TR), Max Planck Institute for Intelligent Systems (DE)
Max-Planck-Gesellschaft, Chinese University of Hong Kong, Shanghai Jiao Tong University
Openalex Percentile: Top 17%
Micro and Nano Robotics
1.26
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Physical Intelligence in Small‐Scale Robots and Machines — Huyue Chen, Metin Sitti · Advanced Materials (2025) | TGRS Research Map | TGRS