Papers

13

Total Citations

154

H-Index

7

About

Bogdan Kwolek is a leading researcher in computer vision and mobile robotics, whose work bridges real-time perception and autonomous navigation. His primary research areas include 3D body tracking, human-robot interaction, scene recognition, and visual control systems. Kwolek’s most influential contribution is the kernel particle filter for real-time 3D body tracking from monocular color images (52 citations), which enabled robust tracking using intensity and color cues with an articulated body model. He also pioneered vision-based feedback control for unicycle robots (14 citations), addressing posture tracking from static cameras. His work on person following and mobile camera localization using particle filters (12 citations) advanced autonomous robot navigation in dynamic environments. More recently, Kwolek has explored deep learning for scene recognition in indoor mobile robot localization (28 citations) and continuous hand gesture recognition for human-robot collaborative assembly (11 citations). His research consistently integrates probabilistic filtering, color vision, and deep neural networks to solve practical robotics challenges. With a career spanning over two decades, Kwolek’s work has laid foundational techniques for real-time visual tracking and human-aware robotics, making him a respected figure in the field.

Research Focus

Key Achievements

7
H-Index
13
Papers
154
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Kernel Particle Filter for Real-Time 3D Body Tracking in Monocular Color Images
52 citations · 2006
📈 Most Prolific Year: 2003 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Rzeszów University of Technology, AGH University of Krakow, Jagiellonian University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago