Related Experiment Video
Updated: Feb 27, 2026
11:53
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
Published on: October 14, 2017
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Modular reconfigurable robots: Toward on-demand multifunctional applications
Guanqi Liang1, Auke Jan Ijspeert2, Mark Yim3
1School of Science and Engineering, Chinese University of Hong Kong, Shenzhen 518172, China.
Science Robotics
|February 25, 2026
Summary
Modular reconfigurable robot (MRR) systems offer versatility but face practical application challenges. This review identifies hardware, software, and application-specific hurdles to guide future MRR development from theory to practice.
Area of Science:
- Robotics
- Artificial Intelligence
- Engineering
Background:
- Modular reconfigurable robot (MRR) systems are gaining attention for their versatility and adaptability.
- Research has progressed from lab settings to real-world applications, yet practical implementation challenges persist.
Purpose of the Study:
- To bridge the gap between MRR technology and specific real-world needs.
- To provide a comprehensive review of challenges in practical MRR applications.
- To adopt an application-oriented perspective focusing on locomotion, manipulation, and construction.
Main Methods:
- Adopting an application-oriented perspective to analyze real-world demands.
- Categorizing challenges into general hardware, general software, and application-specific issues.
- Employing a demand-technology-application approach, working backward from practical needs to technical requirements.
Main Results:
- Identified key challenges in MRR systems across hardware, software, and specific applications.
- Highlighted technological gaps by analyzing current research against practical use cases.
- Outlined strengths, limitations, and potential future research directions for MRR development.
Conclusions:
- Emphasized the need for an application-oriented approach to guide MRR development.
- Stressed the importance of addressing identified challenges for successful real-world MRR deployment.
- Provided a roadmap for future progress by identifying critical areas for research and innovation.
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