Viktor Walter
Papers
10
Total Citations
327
H-Index
8
About
Viktor Walter is a leading researcher in aerial robotics, specializing in the decentralized coordination of unmanned aerial vehicle (UAV) swarms for critical missions such as search and rescue and firefighting. His work is distinguished by pioneering frameworks for deploying compact, bio-inspired swarms that operate without explicit communication or external localization—a fundamental breakthrough for real-world, infrastructure-denied environments. His most cited paper (82 citations) introduces a decentralized swarm system for search and rescue, while another foundational work (62 citations) presents a unique, communication-free swarm framework. Walter also made significant contributions to machine learning for robotics by creating the MIDGARD dataset (53 citations), an automatically annotated resource for training visual relative localization systems on micro-scale UAVs. His impact is further demonstrated by the development of the MRS Drone, a modular platform enabling real-world multi-robot deployment, and his team’s success in the MBZIRC 2020 competition, where they demonstrated fully autonomous UAVs for extinguishing real fires. With over 300 total citations, Walter’s research directly addresses the core challenges of scalability, autonomy, and robustness in aerial swarm robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6On Onboard LiDAR-Based Flying Object Detection22 citations · 2024
- 7
- 8
- 9
- 10