Max Robotics — Global Service Robot Directory + US Certification

About

Andrey Bokovoy is a robotics researcher focused on advancing autonomous navigation and perception for mobile robots. His work centers on vision-based Simultaneous Localization and Mapping (vSLAM), depth reconstruction, and path planning—critical components for enabling robots to understand and move through unknown environments. Bokovoy’s most impactful contribution is his 2021 paper on enhancing exploration algorithms for navigation with visual SLAM (7 citations), which addresses the challenge of real-time map building and localization. He has also conducted key assessments of map construction in vSLAM (6 citations), highlighting practical bottlenecks in modern computer vision. In 2019, Bokovoy demonstrated real-time depth reconstruction using the NVidia Jetson platform (4 citations), a valuable step toward embedding monocular depth estimation into mobile robotics. He further contributed to the robotics community by developing tx2_fcnn_node (2021, 3 citations), an open-source ROS-compatible tool that simplifies integrating neural networks for monocular depth reconstruction into robotic systems. His empirical evaluation of grid-based path planning on the Raspberry Pi platform (2018, 2 citations) provides practical insights for low-cost robotics. Through these works, Bokovoy has advanced real-time, vision-driven navigation and mapping, making autonomous systems more capable and accessible.