Dmitrii Motorin

Peter the Great St. Petersburg Polytechnic University

Papers

Total Citations

H-Index

About

Dmitrii Motorin’s research focuses on the intersection of multi-robot coordination, path planning, and decision-making in complex, layered environments. His work addresses fundamental challenges in robotics, particularly how to efficiently distribute tasks among robot teams and how to navigate environments with multiple, often conflicting, factors. In his most-cited paper (2017, 5 citations), Motorin tackles the computationally expensive problem of target distribution in multi-robot systems, proposing an evaluation function that reduces the need for exhaustive trajectory calculations. This work is crucial for scaling robot teams in logistics and search-and-rescue operations. His second major contribution (2018, 4 citations) introduces a multi-criteria path planning algorithm that operates on a multilayer map, allowing a robot to weigh independent environmental factors—such as terrain difficulty, risk, or energy cost—when choosing an optimal route. This layered approach is particularly valuable for autonomous navigation in hazardous or dynamic settings. Though his citation counts are modest, Motorin’s work is foundational for researchers building more efficient, adaptive multi-robot systems and for students exploring practical path planning in complex, real-world environments.