Papers

21

Total Citations

1,032

H-Index

16

About

Anastasios I. Mourikis is a prominent robotics researcher whose work centers on mobile robot localization, multi-robot systems, and probabilistic state estimation. His research has made foundational contributions to cooperative localization — the challenge of enabling teams of robots to accurately determine their positions by sharing sensor information. His 2006 paper on multi-robot cooperative localization (234 citations) established key analytical bounds on positioning uncertainty, while subsequent work on observability-consistent Extended Kalman Filter (EKF) estimators addressed critical reliability issues in these systems. Mourikis has also tackled the practical challenges of resource-constrained robot formations, developing optimal sensor scheduling strategies that balance bandwidth and communication limitations. Beyond cooperative systems, his contributions extend to motion tracking using fixed-lag smoothing, stochastic cloning Kalman filters for processing relative-state measurements, and Cooperative SLAM performance prediction. A particularly applied contribution is his autonomous stair-climbing algorithm for tracked vehicles (118 citations), demonstrating his range from theoretical estimation to real-world autonomy challenges. Collectively, his body of work — spanning rigorous mathematical analysis and practical implementation — has significantly shaped how researchers approach consistency, efficiency, and accuracy in robotic localization and navigation.

Research Focus

Key Achievements

16
H-Index
21
Papers
1,032
Total Citations
49
Avg Citations/Paper
🏆 Most Cited Paper
Performance analysis of multirobot Cooperative localization
234 citations · 2006
📈 Most Prolific Year: 2006 (6 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: University of Minnesota, University of California, Riverside, Twin Cities Orthopedics, University of Minnesota System

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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