Matthew Ebert
Papers
4
Total Citations
28
H-Index
3
About
Matthew Ebert is an emerging researcher at the forefront of cooperative multi-robot additive manufacturing, a field that sits at the intersection of robotics, computational geometry, and advanced manufacturing. His work focuses on developing algorithmic and geometric frameworks that enable multiple robots to collaboratively 3D print complex structures simultaneously — a paradigm sometimes called swarm manufacturing. His most influential contribution, "LayerLock" (2022, 17 citations), introduced a layer-wise collision-free planning system using topologically interlocked space-filling shapes, establishing a foundational approach for safe, concurrent multi-robot printing. Building on this, Ebert has pushed the boundaries further with "NoodlePrint" (2025, 6 citations), which leverages helically interlocked geometric tiles to maximize concurrency across arbitrary part geometries. His "SafeZone*" framework (2025, 3 citations) advances time-optimal, graph-based scheduling for heterogeneous robot swarms, while "Traveling Cellsman" (2025, 2 citations) addresses the co-optimization of spatial partitioning and robot path planning. Together, these works position Ebert as a distinctive voice tackling the computational and geometric challenges that make large-scale, multi-robot 3D printing practically viable — research with significant implications for future automated manufacturing systems.
Research Focus
Key Achievements
Top Papers
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