Stijn Slot

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About

Stijn Slot is a researcher in algorithmic robotics and computational geometry, with a focus on multi-robot motion planning. His major contribution lies in developing tighter theoretical bounds for the unlabeled motion planning problem, where multiple identical disc-shaped robots must navigate a polygonal workspace to reach a set of target positions—without caring which robot ends up where. In his most-cited work, "Unlabeled Multi-Robot Motion Planning with Tighter Separation Bounds" (2022), Slot improves upon existing separation constraints, enabling more efficient and provably correct coordination strategies for teams of robots. This work has garnered 4 citations and addresses a fundamental challenge in robotics: ensuring collision-free movement while minimizing computational complexity. Slot’s research is particularly relevant for applications in warehouse automation, swarm robotics, and autonomous exploration, where scalable and robust planning is critical. By tightening the mathematical guarantees for robot separation, he advances both the theory and practical feasibility of multi-agent systems. His contributions are valuable for students and researchers seeking to understand the algorithmic foundations of coordinated motion in constrained environments.