Klas Nordberg

Linköping University, University of British Columbia

Papers

3

Total Citations

101

H-Index

3

About

Klas Nordberg is a leading researcher in robotics and computer vision, with a primary focus on advancing autonomous systems for disaster response and robotic manipulation. His most impactful work, the CENTAURO system (71 citations), demonstrates his commitment to developing flexible, mobile manipulation robots that can operate in hazardous environments, allowing human rescuers to maintain a safe distance while still accomplishing critical tasks. Nordberg's research also makes significant contributions to pose estimation, a fundamental challenge in robotics. His 2006 work on multi-cue integration (25 citations) shows how combining information from multiple algorithms and camera views can substantially improve the accuracy of object pose estimation, directly enhancing robotic manipulation performance. Additionally, his work on relative position estimation for single and multi-UAV systems (5 citations) explores how natural landmarks can enable drones to navigate and coordinate without GPS. Through these contributions, Nordberg has helped push the boundaries of how robots perceive and interact with complex, unstructured environments, making him a key figure in the development of practical, resilient robotic systems for real-world applications.

Research Focus

Key Achievements

3
H-Index
3
Papers
101
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Flexible Disaster Response of Tomorrow: Final Presentation and Evaluation of the CENTAURO System
71 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 42
🏛 Institutions: Linköping University, University of British Columbia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago