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February 27, 2026Science Robotics1 citations

Modular reconfigurable robots: Toward on-demand multifunctional applications

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GLGuanqi LiangAIAuke Jan IjspeertMYMark Yim

Key Points

  • The aim is to align modular reconfigurable robot technologies with practical needs and identify challenges.
  • Conducted a comprehensive review of modular reconfigurable robot systems
  • Analyzed locomotion, manipulation, and construction applications
  • Categorized challenges into hardware, software, and application-specific areas
  • Outlined major challenges facing modular reconfigurable robots
  • Proposed a demand-technology-application approach for development
  • Highlighted gaps in technologies for specific use cases

Abstract

Modular reconfigurable robot (MRR) systems have attracted growing attention because of their versatility and ability to operate across diverse domains. Research on MRR systems has made notable progress, evolving from laboratory settings to real-world applications. However, a gap remains in aligning MRR technologies with specific needs, and a comprehensive review of challenges in practical applications is still lacking. To address these issues, this Review adopts an application-oriented perspective. Focusing on locomotion, manipulation, and construction, it proposes a previously unreported perspective centered on real-world demands. The Review outlines these needs and identifies major challenges facing MRR systems, categorized into three areas: general hardware challenges, general software challenges, and application-specific challenges. This Review aims to inform the development of MRR systems from theory to practice through a demand-technology-application approach. By working backward from practical applications to technical requirements, it identifies technological gaps in specific use cases. It also surveys current research, highlighting strengths, limitations, and potential directions while emphasizing key challenges for future progress.

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Cite This Study

Liang et al. (2026) studied this question.

synapsesocial.com/papers/69a1355fed1d949a99abf370https://doi.org/10.1126/scirobotics.adz1999
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