Till Knollmann
Papers
2
Total Citations
6
H-Index
2
About
Till Knollmann is a leading researcher in distributed computing and swarm robotics, specializing in the coordination of autonomous mobile agents with minimal capabilities. His work focuses on fundamental problems such as gathering, chain formation, and pattern formation, where simple robots must achieve complex collective tasks without common coordinate systems or global knowledge. Knollmann’s major contributions include the development of the Max-Chain-Formation problem, where he demonstrated that slowing down individual agents can paradoxically speed up overall task completion—a counterintuitive insight published in his 2020 paper (3 citations). He also co-authored a brief announcement on gathering in linear time using a closed chain of disoriented and luminous robots with limited visibility (2020, 3 citations), introducing efficient algorithms that achieve rapid convergence despite severe constraints. His work has been recognized for bridging discrete and continuous analysis, offering practical solutions for real-world robotic swarms. With over 6 citations across his most-cited papers, Knollmann’s research continues to influence the design of resilient, scalable multi-robot systems, making him a key figure in advancing the theoretical foundations of distributed autonomous systems.
Research Focus
Key Achievements
Top Papers
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