Horst Bunke
Papers
15
Total Citations
154
H-Index
7
About
Horst Bunke is a pioneering figure in intelligent robotics, computer vision, and sensor-based systems, whose work has fundamentally shaped how robots perceive and interact with their environments. His research centers on sensor integration, 3D object recognition, and geometric modeling, with a particular emphasis on developing algorithms that enable robots to understand and navigate complex spaces. Among his most impactful contributions is a simple yet highly efficient algorithm for determining the symmetries of polyhedra (21 citations), which has become a cornerstone for object recognition tasks. Bunke also advanced curve morphing techniques by representing curves as strings of symbols, introducing a novel weighted mean approach that elegantly solves morphing problems (19 citations). His edited volumes, such as *Sensor Based Intelligent Robots* (29 citations), have served as essential resources, synthesizing cutting-edge developments in modeling, planning, and multisensory vision systems. Notably, his work on viewpoint-independent recognition of polygonal faces in 3D (9 citations) introduced invariant local shape descriptors that remain influential in robot vision. Through his leadership in workshops and edited collections, Bunke has not only produced foundational algorithms but also cultivated a community of researchers dedicated to advancing intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1Sensor Based Intelligent Robots29 citations · 2002
- 2Modelling and Planning for Sensor Based Intelligent Robot Systems22 citations · 1995
- 3A simple and efficient algorithm for determining the symmetries of polyhedra21 citations · 1992
- 4Curve morphing by weighted mean of strings19 citations · 2003
- 5
- 6Sensor Based Intelligent Robots8 citations · 1999
- 7
- 8Intelligent Robots — Sensing, Modeling and Planning7 citations · 1997
- 9Active Robot Vision6 citations · 1993
- 10