Papers
3
Total Citations
51
H-Index
3
About
Thadeu Tucci is a leading researcher in modular robotics and programmable matter, focusing on the distributed intelligence that enables swarms of autonomous modules to self-organize into functional structures. His core contributions lie in developing scalable algorithms for self-assembly and self-reconfiguration, where individual robotic modules coordinate through neighbor-to-neighbor communication to achieve a collective goal—without central control. His most cited work, "A Distributed Self-Assembly Planning Algorithm for Modular Robots" (2018, 28 citations), introduces a planning framework that allows modules to autonomously determine their target positions, enabling the robot to morph into a desired shape. Tucci also addresses a critical scalability challenge in his 2017 paper on "Efficient scene encoding for programmable matter self-reconfiguration algorithms" (17 citations), proposing memory-efficient representations that allow large-scale systems to reconfigure without overwhelming individual module storage. His 2018 study on "Network Characterization of Lattice-Based Modular Robots" (6 citations) further explores the communication topology that underpins these decentralized systems. Through these works, Tucci is advancing the frontier of distributed robotics, bringing us closer to practical, self-reconfiguring matter that can adapt its shape for exploration, construction, or disaster response.
Research Focus
Key Achievements
Top Papers
- 1A Distributed Self-Assembly Planning Algorithm for Modular Robots28 citations · 2018
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