Shlomo Odem

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About

Shlomo Odem is a leading researcher in the field of modular self-reconfigurable (MSR) robotics, with a focus on developing efficient algorithms for autonomous shape-shifting systems. His work addresses one of the most fundamental challenges in the field: enabling large collections of independent modules to intelligently reorganize themselves into new configurations to adapt to different tasks. Odem’s major contributions include the introduction of a Rapidly-exploring Random Tree (RRT) algorithm that leverages MSR-equivalence to solve the self-reconfiguration problem in lattice modular robots, a method that dramatically reduces computational complexity. His most cited paper (2023, 6 citations) established this framework, while his subsequent work on sliding triangular modular robots (STRIMOR) in 2024 (4 citations) further advanced the state of the art by tackling the self-reconfiguration problem in 2D triangular lattices. These contributions are critical for scaling MSR systems to larger numbers of modules, where traditional planning approaches become intractable. Odem’s research is paving the way for more adaptable, resilient, and versatile robotic systems capable of real-world deployment in exploration, search-and-rescue, and infrastructure repair.