Tucker Rae-Grant
Papers
2
Total Citations
9
H-Index
1
About
Tucker Rae-Grant is a pioneering researcher in the emerging field of robotic metamaterials, where programmable, reconfigurable structures blur the line between material and machine. His work focuses on creating modular, hands-on systems that allow users to configure simple, repeated cells into dynamic, shape-changing robots for ad-hoc applications. His most-cited paper, "Robotic Metamaterials: A Modular System for Hands-On Configuration of Ad-Hoc Dynamic Applications" (2024, 8 citations), introduces a framework that augments passive structures with active units, enabling unprecedented adaptability—a concept inspired by biological shape-shifters like octopi and caterpillars. Rae-Grant further advances this vision in "Optimization and control of actuator networks in variable geometry truss systems using genetic algorithms" (2025, 1 citation), where he applies evolutionary algorithms to precisely control actuator networks, tackling the grand challenge of achieving biological-level morphological flexibility in robotics. His contributions lay the groundwork for robots that can squeeze through tight spaces or morph on command, with potential impacts in search-and-rescue, exploration, and adaptive infrastructure. Though early in his career, Rae-Grant’s work is already shaping how we think about the intersection of materials science and robotics, offering a tangible path toward truly adaptive machines.
Research Focus
Key Achievements
Top Papers
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- 2