A. Vokhmintsev

Papers

Total Citations

H-Index

About

A. Vokhmintsev is a robotics researcher specializing in autonomous navigation, 3D mapping, and robotic manipulation. His work primarily focuses on enabling robots to perceive and interact with complex, unknown environments. A key contribution is his research on Simultaneous Localization and Mapping (SLAM), where he developed a method using RGB-D cameras to generate dense 3D maps of indoor spaces. This approach, detailed in his 2016 paper (9 citations), integrates multisensor dynamic information and point cloud registration for robust spatial alignment, advancing autonomous exploration in infrastructure-heavy settings. In a separate line of inquiry, Vokhmintsev tackles dynamic object manipulation, specifically robotic catching. His 2018 paper (9 citations) introduces a genetic programming algorithm for trajectory estimation from dual-camera video, enabling a robot to predict and intercept thrown objects—a challenging task requiring precise real-time tracking. With foundational contributions in both environmental mapping and high-speed interaction, Vokhmintsev’s work bridges perception and action, offering practical solutions for autonomous systems in unstructured environments.