R. N. Yakovlev

St. Petersburg Institute for Informatics and Automation

Papers

Total Citations

H-Index

About

R. N. Yakovlev is a researcher in robotics and intelligent control systems, with a primary focus on kinematic modeling and neural network applications for manipulator positioning. His most-cited work, "Approach to Positioning Links of the Manipulator Using Neural Networks" (2019), addresses the fundamental challenges of forward and inverse kinematics for robotic manipulators with four degrees of freedom. By leveraging neural networks, Yakovlev proposes novel methods to solve these complex positioning problems, which are critical for precise robotic motion control. Although his citation count is modest—with his top paper garnering 4 citations—his contributions are notable for integrating machine learning techniques into classical robotics kinematics, offering a data-driven alternative to traditional analytical approaches. His work is particularly relevant for researchers exploring adaptive control systems and neural network-based solutions in robotics. Yakovlev’s research represents a step toward more flexible and intelligent manipulator systems, with potential applications in manufacturing, automation, and assistive robotics.