Maksim Grigorev

Papers

Total Citations

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About

Maksim Grigorev is a robotics researcher whose work centers on computer vision and autonomous systems, with a particular focus on enhancing robotic perception for industrial applications. His most cited contribution, "Calibration of the omnidirectional vision system for robotics sorting system" (2025, 5 citations), addresses a critical challenge in robotics: ensuring precise distance measurement to obstacles for effective object manipulation. By developing calibration methods for omnidirectional vision, Grigorev enables robots to accurately interpret their environment, a key step toward reliable sorting and handling in automated systems. This work bridges the gap between theoretical vision algorithms and practical robotic deployment, offering solutions that improve efficiency in manufacturing and logistics. Though early in his career, Grigorev’s research demonstrates a clear commitment to advancing robotic autonomy through robust sensor integration. His findings are particularly relevant for students and engineers working on perception-driven robotics, where accurate calibration can mean the difference between a successful sort and a costly error. As the field moves toward more adaptive and intelligent machines, Grigorev’s contributions provide a foundational piece for building systems that see and act with precision.