Alexander Salomatin
Papers
1
Total Citations
2
H-Index
1
About
Alexander Salomatin is a researcher specializing in multi-robot systems and autonomous aerial-ground coordination. His work focuses on the intricate challenge of joint motion planning for heterogeneous robot teams, particularly the collaborative dynamics between mobile ground robots and unmanned aerial vehicles (UAVs). Salomatin’s key contribution lies in developing mathematical models that enable synchronized path planning and obstacle avoidance for these mixed groups, addressing real-world constraints like communication delays and dynamic environments. His most-cited paper, "Modeling of Joint Motion Planning of Group of Mobile Robots and Unmanned Aerial Vehicle" (2023), has garnered 2 citations, laying foundational groundwork for future studies in swarm robotics and cooperative autonomy. While his citation count is modest, the work is notable for its practical relevance to search-and-rescue missions, agricultural monitoring, and industrial automation, where ground-air cooperation is critical. Salomatin’s research bridges theoretical control theory and applied robotics, offering a blueprint for scalable, resilient multi-agent systems. His contributions are particularly valuable for students and researchers exploring the frontier of human-robot interaction and decentralized coordination in complex environments.
Research Focus
Key Achievements
Top Papers
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