Thomas Hofmann

University of Bonn, Innsbruck Medical University

Papers

5

Total Citations

395

H-Index

3

About

Thomas Hofmann is a pioneer in autonomous mobile robotics, best known for his foundational work on the RHINO robot platform. His research centers on map learning, high-speed navigation, and real-time robotic control in unstructured indoor environments. Hofmann’s major contributions include developing robust methods for simultaneous localization and mapping (SLAM) and autonomous path planning, which enabled RHINO to navigate complex spaces at high speeds—a breakthrough that garnered over 200 citations for his seminal 1998 chapter. His earlier work on the Mobile Robot Rhino (1995, 165 citations) established a benchmark for reliable, sensor-driven navigation. Beyond robotics, Hofmann has explored deterministic annealing for large-scale optimization and, more recently, advanced surgical robotics with CIGuide, an augmented reality laser guidance system for skull base surgery (2019). This system integrates hybrid optic-magnetic tracking to reduce surgeon cognitive load, demonstrating his ability to translate robotic principles into high-impact medical applications. His career reflects a sustained commitment to both theoretical foundations and practical, life-saving innovations.

Research Focus

Key Achievements

3
H-Index
5
Papers
395
Total Citations
79
Avg Citations/Paper
🏆 Most Cited Paper
Map learning and high-speed navigation in RHINO
211 citations · 1998
📈 Most Prolific Year: 1998 (1 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: University of Bonn, Innsbruck Medical University

Top Papers

  1. 1
  2. 2
    The Mobile Robot Rhino
    165 citations · 1995
  3. 3
  4. 4
  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago