Vyacheslav Pshikhopov

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About

Vyacheslav Pshikhopov is a leading researcher in robotics and multi-agent systems, specializing in decentralized control and path planning for autonomous vehicles. His work addresses critical challenges in coordinating groups of homogeneous robots operating in obstructed environments, where he developed a decentralized control system that minimizes informational exchange between agents while transforming obstacles into repellers for efficient navigation. This approach, detailed in his most-cited 2016 paper (9 citations), enables robust, scalable coordination without centralized oversight. Pshikhopov also advanced trajectory planning for mobile robots with maneuver restrictions, as shown in his 2021 work (6 citations), where he introduced a method to represent velocity-dependent constraints as virtual obstacles, ensuring safe and feasible paths. His contributions are vital for real-world applications like drone swarms and autonomous ground vehicles, where limited communication and dynamic obstacles are common. With a focus on practical, computationally efficient solutions, Pshikhopov’s research has shaped modern approaches to multi-robot control, earning recognition for its innovation in handling complex, real-time navigation challenges.