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About

Jannik Laval is a robotics researcher whose work spans multi-robot systems, performance benchmarking, and robot programming environments. He has made significant contributions to the field of autonomous mobile robotics, particularly in establishing rigorous methodologies for evaluating and comparing multi-robot exploration systems in unknown terrains. His most influential work, "Metrics for performance benchmarking of multi-robot exploration" (2015, 41 citations), laid foundational groundwork for objectively assessing multi-robot performance under varying conditions — a critical challenge in the field. This was complemented by his development of a ROS-based testbed for realistic multi-robot simulation (2017, 27 citations), providing the robotics community with practical tools to support reproducible benchmarking processes. Earlier, Laval addressed quality assurance challenges for mobile autonomous robots entering mass markets, proposing reusable and automated testing methodologies (2013, 17 citations). Beyond benchmarking, Laval has explored team size optimization for multi-robot exploration and championed more accessible robot programming through live programming environments, aiming to bridge the gap between code development and real-time robot behavior. His cumulative body of work — spanning simulation, testing, and end-user programming — reflects a sustained commitment to making autonomous robotics more measurable, reliable, and approachable for developers and consumers alike.