Papers

14

Total Citations

101

H-Index

6

About

Dorothy Monekosso is a leading researcher in intelligent robotics and autonomous systems, with a particular focus on multi-robot coordination, swarm intelligence, and human-robot interaction. Her pioneering work on multi-robot teams for environmental monitoring and surveillance has laid the groundwork for deploying coordinated robotic swarms in real-world scenarios, including counter-IED operations and wide-area search and rescue. She has made significant contributions to gesture recognition, developing novel hybrid methods and concept grounding approaches for glove-based systems that bridge the gap between human intent and machine understanding. Her research on autonomous control laws for surveillance swarms, which applies physics-based artificial forces to coordinate VTOL UAVs, has been widely cited (over 70 total citations) and demonstrates her ability to translate theoretical models into practical, deployable systems. Monekosso has also advanced the field of intelligent environments, exploring how robotic, sensory, and problem-solving components can be integrated into future homes. Her work on building visual memories from video streams using growing neural gas algorithms further showcases her versatility in combining machine learning with real-time robotic perception. Through her sustained contributions to multi-agent architectures and adaptive swarm coordination, Monekosso has established herself as a key figure in the development of autonomous, responsive robotic systems for environmental and security applications.

Research Focus

Key Achievements

6
H-Index
14
Papers
101
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Multi-robot Teams for Environmental Monitoring
22 citations · 2011
📈 Most Prolific Year: 2011 (3 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: University of Ulster, Kingston University, Munster Technological University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago