Papers

15

Total Citations

137

H-Index

6

About

Eugene Kagan is a researcher whose work sits at a compelling intersection of robotics, quantum computing, and swarm intelligence. His scholarship has made significant contributions to the theory and practice of autonomous mobile robot navigation, multi-agent systems, and bio-inspired algorithms for search and foraging behavior. His most influential work, "Search and Foraging" (2015, 36 citations), draws on biological models to advance robot control strategies, with a companion volume extending these ideas to swarm dynamics garnering an additional 15 citations. A distinctive thread running through Kagan's research is the application of quantum mechanical principles to robot decision-making. His investigations into quantum-controlled navigation and fuzzy implementations of qubit operators — spanning from 2008 through 2014 — pioneered methods for translating quantum state representations into practical robot control frameworks. More recently, his 2023 work on non-commutative logic for collective decision-making demonstrates a continued drive to develop mathematically rigorous tools for multi-agent coordination under uncertainty. His practical contributions extend to communication protocols for robot societies and probabilistic control systems mimicking ant foraging behavior. With over 120 cumulative citations, Kagan's body of work offers students and researchers a rich theoretical foundation bridging quantum information theory, fuzzy logic, and autonomous systems.

Research Focus

Key Achievements

6
H-Index
15
Papers
137
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Search and Foraging
36 citations · 2015
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Tel Aviv University, Weizmann Institute of Science, Ariel University

Top Papers

  1. 1
    Search and Foraging
    36 citations · 2015
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago