About

Torsten Andre is a leading researcher in multi-robot systems, with a primary focus on autonomous coordination for search and rescue missions. His most influential work, "An Autonomous Multi-UAV System for Search and Rescue" (309 citations), introduces a modular architecture for coordinating multiple unmanned aerial vehicles using distributed control within the Robot Operating System (ROS), enabling autonomous disaster response. Andre has made significant contributions to understanding the value of coordination in multi-robot exploration, including developing a discrete-time Markov process model to assess when coordination is necessary. He has also advanced practical robotics by creating open-source ROS packages for distributed multi-robot exploration, communication, and map construction. Notably, Andre contributed to the IEEE 1873-2015 standard for Robot Map Data Representation for Navigation, facilitating interoperability between robotic systems. His work on resource-aware hybrid camera systems further extends his expertise into sensor networks. With over 400 total citations across his publications, Andre's research bridges theoretical coordination models with real-world implementations, making him a key figure in advancing autonomous multi-robot systems for critical applications like search and rescue.

Research Focus

Key Achievements

5
H-Index
6
Papers
406
Total Citations
68
Avg Citations/Paper
🏆 Most Cited Paper
An Autonomous Multi-UAV System for Search and Rescue
309 citations · 2015
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Institute for Interdisciplinary Studies of Austrian Universities, University of Klagenfurt, Infineon Technologies (Austria)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago