Manuel Patchou

TU Dortmund University

Papers

14

Total Citations

142

H-Index

7

About

Manuel Patchou is a researcher specializing in rescue robotics, resilient wireless communications, and unmanned systems, with a particular focus on enabling reliable remote operations in hazardous and mission-critical environments. His work sits at the intersection of robotics and telecommunications, addressing one of the most pressing challenges in disaster response: keeping robots reliably connected when human lives depend on it. Patchou has made significant contributions through his involvement with the German Rescue Robotics Center (DRZ), co-authoring foundational work on its holistic, stakeholder-driven approach to emergency robotics (36 citations) and documenting real-world deployments across earthquakes, fires, and floods (23 citations). His technical innovations include SKATES, a multi-connectivity communication module for search and rescue robots (17 citations), and SEAMLESS, a radio-metric-aware multi-link transmission framework designed to ensure resilient robot operation under unpredictable network conditions (10 citations). He has also advanced simulation and emulation methodologies for testing robotic communications, reducing costly physical testing overhead. With over 130 cumulative citations across a relatively compact body of work, Patchou's research has gained meaningful traction in the robotics and communications communities. His contributions span UAV swarm routing, quality-of-experience evaluation, and pandemic-responsive drone delivery, reflecting both technical depth and real-world applicability.

Research Focus

Key Achievements

7
H-Index
14
Papers
142
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
German Rescue Robotics Center (DRZ): A Holistic Approach for Robotic Systems Assisting in Emergency Response
36 citations · 2021
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 42
🏛 Institutions: TU Dortmund University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago