Papers

28

Total Citations

279

H-Index

11

About

Andon V. Topalov is a prolific robotics and intelligent systems researcher whose work spans mobile robotics, human-robot interaction, neuro-adaptive control, and wireless sensor networks. Over more than two decades, he has made significant contributions to the development of intelligent control architectures, pioneering early applications of fuzzy logic and evolutionary learning in non-holonomic mobile robot control — work that has garnered 31 citations since 1998. His research has progressively embraced modern sensing technologies, with notable contributions in gesture-based robot control using Microsoft Kinect and Leap Motion sensors, enabling intuitive human-robot interfaces for both mobile platforms and industrial manipulators. Topalov has also advanced autonomous robot behaviors, developing deep convolutional neural network approaches and 2D LiDAR-based systems for dynamic target recognition and following. His contributions to robotized wireless sensor networks — including MQTT cloud computing integration and environmental pollution monitoring — reflect a strong applied focus on real-world deployment. His 2011 book chapter on mobile robotics has reached broad audiences across the multidisciplinary field. With a consistent citation record across diverse research threads, Topalov represents a well-rounded contributor to modern intelligent robotics systems.

Research Focus

Key Achievements

11
H-Index
28
Papers
279
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Fuzzy-net control of non-holonomic mobile robot using evolutionary feedback-error-learning
31 citations · 1998
📈 Most Prolific Year: 2018 (5 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: Technical University of Sofia, Plovdiv University, In-Q-Tel, Boğaziçi University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago