Marcel Kronfeld

Papers

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About

Marcel Kronfeld is a researcher in multi-robot systems and cooperative perception, with a focus on enabling resource-limited robots to navigate and map environments through visual data. His key contributions lie in developing swarm-based approaches for visual mapping and localization, particularly in outdoor and heterogeneous robotic teams. Kronfeld’s most cited work, “Cooperative visual mapping in a heterogeneous team of mobile robots” (2011, 8 citations), introduces a hierarchical method that allows multiple robots to collaboratively build image-based maps and localize within them, addressing a fundamental challenge in mobile robotics. His other notable papers, such as “Swarm-supported outdoor localization with sparse visual data” (2009, 7 citations) and “A Dynamic Swarm for Visual Location Tracking” (2008, 4 citations), further advance swarm intelligence for visual tracking, while “Multi-robot Coverage Considering Line-of-sight Conditions” (2010, 3 citations) tackles coverage optimization under realistic constraints. Though his citation counts are modest, Kronfeld’s work is pioneering in integrating swarm dynamics with visual perception for cooperative robotics, offering practical solutions for teams of limited-capability robots. His research remains relevant for students and engineers interested in distributed mapping, visual SLAM, and swarm robotics in constrained environments.