Igor V. Belousov

National Institutes of Applied Research, Centre National de la Recherche Scientifique, Keldysh Institute of Applied Mathematics

Papers

Total Citations

246

H-Index

About

Igor V. Belousov is a leading figure in robotic motion planning, whose work has fundamentally advanced how robots navigate complex, dynamic environments. His research centers on developing algorithms that integrate geometric path planning with the intricate dynamics of robotic systems, enabling collision-free motion for both industrial manipulators and humanoid robots. Belousov’s most impactful contribution is his iterative two-stage planning framework, introduced in his seminal 2008 paper (106 citations), which efficiently reshapes trajectories to satisfy both kinematic and dynamic constraints. He extended this approach to humanoid robots, creating an integrated scheme that combines algorithmic planning with dynamic pattern generators for tasks like walking and balancing (89 citations). His work also addresses the unique challenges of large space manipulators (23 citations) and human-robot interaction, as demonstrated by the Diligent personal robot project (22 citations), which pioneered "human-friendly navigation." Additionally, Belousov explored web-based teleoperation for robots catching fast-moving objects (6 citations), showcasing his versatility. With over 250 total citations, his iterative reshaping methodology remains a cornerstone for researchers tackling real-world robotic motion challenges.