Joseph Djugash

Carnegie Mellon University

Papers

13

Total Citations

572

H-Index

11

About

Joseph Djugash is a leading researcher in multi-robot systems and range-only localization, whose work has fundamentally advanced how robots navigate and search in GPS-denied environments. His seminal 2009 paper on efficient multi-robot search for moving targets (158 citations) established key strategies for coordinating robotic teams to locate non-adversarial targets in indoor spaces. Djugash is perhaps best known for pioneering range-only Simultaneous Localization and Mapping (SLAM), a critical technique for robots operating where traditional bearing measurements are impossible. His 2006 paper on cooperative SLAM with sensor networks (157 citations) demonstrated how mobile robots can use radio range measurements to simultaneously localize themselves and map landmarks, a breakthrough for environments with poor visibility. His contributions extend to robust methods for localization using only range data (48 citations) and decentralized mapping of robot-aided sensor networks (24 citations). Djugash also created five large publicly available datasets with ground truth for range-only navigation (24 citations), providing an invaluable resource for the robotics community. His work on interpolated range data (29 citations) further refined SLAM accuracy, cementing his reputation as a pioneer in resilient, scalable geolocation for autonomous systems.

Research Focus

Key Achievements

11
H-Index
13
Papers
572
Total Citations
44
Avg Citations/Paper
🏆 Most Cited Paper
Efficient Multi-robot Search for a Moving Target
158 citations · 2009
📈 Most Prolific Year: 2009 (4 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Carnegie Mellon University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago