Ken Hasselmann
Papers
11
Total Citations
274
H-Index
8
About
Ken Hasselmann is a leading researcher in swarm robotics, specializing in the automatic design of collective behaviors for robot swarms. His work addresses the fundamental challenge of creating control software for distributed, redundant robotic systems through optimization-based methods. Hasselmann’s major contributions include pioneering automatic off-line design approaches, particularly through neuro-evolution and modular behavior generation, which enable robots to develop sophisticated coordination strategies without manual intervention. His most cited paper, "Automatic Off-Line Design of Robot Swarms: A Manifesto" (2019, 79 citations), established a foundational framework for the field. He also developed Phormica, an innovative photochromic pheromone system for stigmergic coordination (25 citations), and Gianduja, a method for designing communication-based behaviors with flexible message semantics. His work on transferability across different robotic platforms (2024) addresses the critical reality gap between simulation and real-world deployment. With over 270 total citations across his publications, Hasselmann’s research has significantly advanced the practical implementation of autonomous swarm systems, making him a key figure in the evolution of collective robotics.
Research Focus
Key Achievements
Top Papers
- 1Automatic Off-Line Design of Robot Swarms: A Manifesto79 citations · 2019
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- 4Automatic Design of Communication-Based Behaviors for Robot Swarms33 citations · 2018
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- 10A multi-robot system for the detection of explosive devices3 citations · 2024