Papers
1
Total Citations
10
H-Index
1
About
XinLei Nie is a leading researcher in the field of self-reconfiguring modular robotics, with a focus on developing adaptive, flexible robotic systems that can autonomously change their shape and function to meet environmental demands. Their most-cited work, the 2024 review "Research on Reconfiguration Strategies for Self-reconfiguring Modular Robots: A Review," has already garnered 10 citations, highlighting its timely impact on the robotics community. In this comprehensive survey, Nie systematically analyzes key reconfiguration strategies—including lattice, chain, and hybrid approaches—and identifies critical challenges such as scalability, control algorithms, and hardware design. This work serves as a foundational resource for researchers and engineers aiming to advance modular robotics for applications in search-and-rescue, space exploration, and hazardous environments. By synthesizing decades of progress and outlining future directions, Nie has established themselves as a pivotal voice in the field, bridging theoretical frameworks with practical implementation. Their contributions are shaping the next generation of autonomous, reconfigurable systems that promise to revolutionize how robots interact with complex, unpredictable settings.
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