Pantelis Elinas

University of British Columbia

Papers

8

Total Citations

294

H-Index

6

About

Pantelis Elinas is a leading researcher in robotics and computer vision, best known for pioneering vision-based simultaneous localization and mapping (SLAM) for mobile robots. His seminal work on σSLAM introduced a Rao-Blackwellised particle filter combined with a novel mixture proposal distribution, enabling robots equipped with stereo vision to construct dense metric maps of 3D point landmarks in large cyclic environments—a paper that has garnered 109 citations. Extending this, his 2007 study on the Rao-Blackwellised particle filter for efficient vision-based SLAM (97 citations) and sigmaMCL for Monte-Carlo localization (36 citations) established robust frameworks that decouple localization from mapping using SIFT features. Beyond navigation, Elinas contributed to social robotics with the development of Jose, a vision-based autonomous robotic waiter (31 citations), and HOMER, a human-oriented messenger robot. His decision-theoretic approach using multiply-sectioned Markov decision processes for task coordination in social robots (9 citations) advanced human-robot interaction. With over 290 total citations, Elinas’s work remains foundational for researchers in autonomous navigation, visual SLAM, and interactive robotics.

Research Focus

Key Achievements

6
H-Index
8
Papers
294
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
σSLAM: stereo vision SLAM using the Rao-Blackwellised particle filter and a novel mixture proposal distribution
109 citations · 2006
📈 Most Prolific Year: 2007 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of British Columbia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago