Dmitriy Shutin
Papers
24
Total Citations
292
H-Index
9
About
Dmitriy Shutin is a researcher whose work sits at the intersection of robotics, probabilistic modeling, and autonomous multi-agent systems, with a particular focus on environmental exploration and gas source localization. His most influential contribution, "Decentralized multi-agent exploration with online-learning of Gaussian processes" (2016, 63 citations), established a foundational framework for intelligent, spatially-aware sampling in safety-critical applications such as search and rescue missions. Shutin has been instrumental in developing sophisticated probabilistic strategies that enable cooperative robot systems to autonomously detect and localize hazardous gas sources, incorporating physical knowledge from partial differential equations and advection-diffusion models to handle real-world uncertainties — a body of work that has collectively garnered over 100 citations. His research extends to information-theoretic approaches and rapidly-exploring random tree planners for spatial field reconstruction, demonstrating both theoretical rigor and experimental validation. Notably, his work on robotic swarms for space exploration signals an ambitious vision for scalable, resilient autonomous systems beyond terrestrial applications. Shutin's contributions have meaningfully advanced how autonomous agents gather, model, and act upon environmental information in complex, dynamic settings.
Research Focus
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- 10Swarm Technologies For Future Space Exploration Missions8 citations · 2018