About

Raymond G. Gosine is a distinguished robotics and autonomous systems researcher whose work spans mobile robot navigation, multi-robot coordination, intelligent control systems, and emerging industrial technologies. He has made foundational contributions to behavior-based robotics, pioneering the use of fuzzy discrete event systems (FDES) for behavior modulation and coordination in mobile platforms — work that has garnered over 170 citations across multiple publications. His research on simultaneous localization and mapping (SLAM) and cooperative multi-robot localization, including decentralized filtering approaches, has significantly advanced autonomous navigation capabilities. Gosine's 2015 paper on model predictive control for nonholonomic mobile robots, with 117 citations, stands as a landmark contribution, providing rigorous stability guarantees without conventional stabilizing constraints. Beyond robotics, he has explored object-based visual attention models for robotic perception and developed novel ultrasonic-vision sensor systems for multi-robot networks. More recently, his work has extended into Industry 4.0 applications, examining human-centric digital transformation in oil and gas environments, reflecting a broadening vision of intelligent, human-aware automation. With a research portfolio exceeding 600 cumulative citations, Gosine represents a versatile and impactful voice in applied autonomous systems research.

Research Focus

Key Achievements

20
H-Index
89
Papers
1,526
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Model Predictive Control of Nonholonomic Mobile Robots Without Stabilizing Constraints and Costs
117 citations · 2015
📈 Most Prolific Year: 2009 (15 Papers)
🤝 Key Collaborators: 70
🏛 Institutions: Memorial University of Newfoundland, Centre For Cold Ocean Resources Engineering, University of British Columbia, University of Waterloo, University of Cambridge

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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