Thomas Hofmann
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
Top Papers
- 1Map learning and high-speed navigation in RHINO211 citations · 1998
- 2The Mobile Robot Rhino165 citations · 1995
- 3CIGuide: in situ augmented reality laser guidance14 citations · 2019
- 4
- 5Robotic Grasping of Novel Objects2 citations · 2007