Papers
6
Total Citations
54
H-Index
4
About
Thomas Remmersmann is a leading researcher in multi-robot systems (MRS), specializing in the command and control of heterogeneous unmanned ground and aerial vehicles (UGVs and UAVs). His major contributions center on developing intuitive, natural language-based interfaces to simplify the supervision of complex robot teams. In his most cited work (2013, 24 citations), he demonstrated the feasibility of cooperative reconnaissance and surveillance through a large field experiment integrating six heterogeneous UGVs and UAVs from three institutions. Remmersmann pioneered the use of quasi-natural command language and Battle Management Language (BML) to allow human operators to focus on high-level mission planning rather than low-level robot control. His research addresses the critical challenge of scalability in MRS by enabling operators to issue clear, unambiguous commands that are automatically disaggregated and scheduled across multiple robots. Through papers like "Interactive multi-robot command and control with quasi-natural command language" (2014, 7 citations) and "Commanding Multi-Robot Systems with Robot Operating System using Battle Management Language" (2012, 4 citations), Remmersmann has advanced the practical deployment of autonomous robot teams in military and reconnaissance operations, making multi-robot control more accessible and efficient.
Research Focus
Key Achievements
Top Papers
- 1
- 2Realization of an Autonomous Team of Unmanned Ground and Aerial Vehicles9 citations · 2012
- 3
- 4Interacting with multi-robot systems using BML7 citations · 2013
- 5
- 6