Bioinspired Design for Space Robots: Enhancing Exploration Capability and Intelligence

Space exploration is a major global focus, advancing knowledge and exploiting new resources beyond Earth. Bioinspired design-drawing principles from nature-offers systematic pathways to increase the capability and intelligence of space robots. Prior reviews have emphasized on-orbit manipulators or lunar rovers, while a comprehensive treatment across application domains has been limited. This review synthesizes bioinspired capability and intelligence for space exploration under varied environmental constraints. We highlight four domains: adhesion and grasping for on-orbit servicing; terrain-adaptive mobility on granular and rocky surfaces; exploration intelligence that couples animal-like sensing with decision strategies; and design methodologies for translating biological functions into robotic implementations. Representative applications include gecko-like dry adhesives for debris capture, beetle-inspired climbers for truss operations, sand-moving quadrupeds and mole-inspired burrowers for granular regolith access, and insect flapping-wing robots for flight under Martian conditions. By linking biological analogues to quantitative performance metrics, this review highlights how bioinspired strategies can significantly improve on-orbit inspection, planetary mobility, subsurface access, and autonomous decision-making. Framed by capability and intelligence, bioinspired approaches reveal how biological analogues translate into tangible performance gains for on-orbit inspection, servicing, and long-range planetary exploration.

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Publication Details

Journal
Biomimetics
Published
2026-01-02
DOI
https://doi.org/10.3390/biomimetics11010030
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.00

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article

Bioinspired Design for Space Robots: Enhancing Exploration Capability and Intelligence

Guangming Chen, Meng Zou, Xiang Lei, Gabriel Lodewijks et al.
Biomimetics
Modular Robots and Swarm Intelligence
article

Bioinspired Design for Space Robots: Enhancing Exploration Capability and Intelligence

Guangming Chen, Meng Zou, Xiang Lei, Gabriel Lodewijks, Rui Zhang, Shiwen Li
article en

Abstract

Space exploration is a major global focus, advancing knowledge and exploiting new resources beyond Earth. Bioinspired design-drawing principles from nature-offers systematic pathways to increase the capability and intelligence of space robots. Prior reviews have emphasized on-orbit manipulators or lunar rovers, while a comprehensive treatment across application domains has been limited. This review synthesizes bioinspired capability and intelligence for space exploration under varied environmental constraints. We highlight four domains: adhesion and grasping for on-orbit servicing; terrain-adaptive mobility on granular and rocky surfaces; exploration intelligence that couples animal-like sensing with decision strategies; and design methodologies for translating biological functions into robotic implementations. Representative applications include gecko-like dry adhesives for debris capture, beetle-inspired climbers for truss operations, sand-moving quadrupeds and mole-inspired burrowers for granular regolith access, and insect flapping-wing robots for flight under Martian conditions. By linking biological analogues to quantitative performance metrics, this review highlights how bioinspired strategies can significantly improve on-orbit inspection, planetary mobility, subsurface access, and autonomous decision-making. Framed by capability and intelligence, bioinspired approaches reveal how biological analogues translate into tangible performance gains for on-orbit inspection, servicing, and long-range planetary exploration.

BiomimeticsVol. 11(1)
Jilin University (CN), University of Newcastle Australia (AU), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Jilin University, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 99%
Modular Robots and Swarm Intelligence
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