Don Murray

University of British Columbia

Papers

3

Total Citations

588

H-Index

3

About

Don Murray is a robotics researcher whose work has significantly advanced the field of autonomous mobile robot navigation using computer vision. His research centers on stereo vision systems, simultaneous localization and mapping (SLAM), and autonomous exploration, with a particular focus on enabling robots to perceive and navigate complex real-world environments without human intervention. Murray's most influential contribution, "Using Real-Time Stereo Vision for Mobile Robot Navigation" (2000), has garnered over 400 citations, establishing him as a key figure in vision-based robotics. This work, alongside his 2002 paper on stereo vision-based mapping and navigation, demonstrated how trinocular stereo vision systems could generate highly accurate depth images at practical speeds, allowing robots to safely traverse indoor environments at meaningful velocities. These contributions helped bridge the gap between theoretical computer vision and deployable robotic systems. His earlier work on cooperative multi-robot mapping further distinguished his research profile, exploring how multiple stereo-vision-equipped robots could share spatial information through landmark recognition to collaboratively construct unified environmental maps. This pioneering approach to multi-agent coordination laid groundwork for modern swarm robotics and collaborative autonomy research. Murray's body of work remains a foundational reference for researchers developing vision-guided autonomous systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
588
Total Citations
196
Avg Citations/Paper
🏆 Most Cited Paper
Using Real-Time Stereo Vision for Mobile Robot Navigation
408 citations · 2000
📈 Most Prolific Year: 2000 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of British Columbia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago