Andrei Boshliakov

Bauman Moscow State Technical University

Papers

Total Citations

H-Index

About

Andrei Boshliakov is a robotics researcher focused on enhancing precision and reliability in automated systems, with key contributions in robotic vision stabilization and gripper drive unit design. His 2018 paper on "Active stabilization in robotic vision systems" (8 citations) explores innovative approaches using parallel kinematics mechanisms to counteract object fluctuations, advancing the stability of vision-based robotic platforms. This work addresses critical challenges in dynamic environments where precise visual feedback is essential. In 2019, Boshliakov published "Drive unit mathematical model of robot gripping devices" (4 citations), tackling the persistent issue of improving technical characteristics in gripper modules. He models how drive motors and gear units introduce elasticity, backlash, and friction—factors that degrade performance—offering a mathematical framework to optimize these components. While his citation counts reflect an emerging career, his research targets foundational problems in robotic actuation and control, bridging theoretical modeling with practical application. Boshliakov’s work is particularly relevant for students and engineers developing high-precision robotic systems, where stability and grip reliability are paramount.