Marco Langerwisch
Papers
7
Total Citations
98
H-Index
5
About
Marco Langerwisch is a leading researcher in multi-robot systems and autonomous navigation, with a focus on coordinating heterogeneous unmanned ground and aerial vehicles (UGVs and UAVs) for reconnaissance and surveillance. His most influential work, "Wide Range Global Path Planning for a Large Number of Networked Mobile Robots based on Generalized Voronoi Diagrams" (28 citations), introduced scalable path planning strategies for large robot teams. In a landmark 2013 field experiment (24 citations), Langerwisch demonstrated the first successful cooperative deployment of six heterogeneous UGVs and UAVs from three research institutions, proving the feasibility of mixed-fleet autonomous operations. His dynamic path planning approach (21 citations) extended traditional A* algorithms with a time dimension to guarantee collision-free coordination among multiple robots. Langerwisch also pioneered the use of Battle Management Language for commanding multi-robot systems, enabling intuitive human-robot interaction through near-natural language commands. His work on robust interval constraint propagation for mobile robot tracking (10 citations) further advanced guaranteed localization in uncertain environments. With over 98 total citations, Langerwisch’s contributions remain foundational for researchers developing autonomous, cooperative robot teams for real-world missions.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Dynamic path planning for coordinated motion of multiple mobile robots21 citations · 2011
- 4
- 5Realization of an Autonomous Team of Unmanned Ground and Aerial Vehicles9 citations · 2012
- 6
- 7REGISTRATION OF INDOOR 3D RANGE IMAGES USING VIRTUAL 2D SCANS2 citations · 2010