About

Patric Jensfelt is a prominent robotics researcher whose work spans mobile robot localization, semantic spatial understanding, autonomous exploration, and human-robot interaction. Best known for his foundational contributions to probabilistic localization, his 2001 paper on multi-hypothesis localization—which combined Kalman filtering with probabilistic hypothesis tracking—has garnered over 316 citations and remains a landmark in the field. His sustained interest in how robots understand and represent indoor environments is reflected in highly cited work on conceptual spatial representations (292 citations), semantic place classification (147 citations), and supervised semantic labeling (180 citations), collectively shaping how robots build meaningful models of the spaces they inhabit. Jensfelt has also made significant contributions to long-term robot autonomy through the STRANDS Project (196 citations) and to efficient 3D exploration planning (221 citations), addressing real-world deployment challenges. His research extends naturally into human-robot interaction, including studies on socially appropriate passing distances (167 citations) and situated dialogue for collaborative mapping (138 citations). Across more than two decades of research, Jensfelt's work has consistently bridged theoretical rigor and practical application, making him a defining voice in intelligent mobile robotics.

Research Focus

Key Achievements

42
H-Index
121
Papers
5,321
Total Citations
44
Avg Citations/Paper
🏆 Most Cited Paper
Active global localization for a mobile robot using multiple hypothesis tracking
316 citations · 2001
📈 Most Prolific Year: 2006 (22 Papers)
🤝 Key Collaborators: 183
🏛 Institutions: KTH Royal Institute of Technology, Linköping University, Idiap Research Institute, Beihang University, Swedish e-Science Research Centre

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 1 days ago