Yuriy Mamaev
Papers
1
Total Citations
3
H-Index
1
About
Yuriy Mamaev is a robotics researcher specializing in the kinematics and intelligent control of walking robots, with a particular focus on hexapod locomotion systems. His work centers on the synthesis of correction algorithms for robotic motion paths, integrating classical robotics theory with modern artificial intelligence techniques. His most-cited paper, "Correction Algorithms Synthesis for the Motion Path of the Hexapod Robot Output Link Based on the Theory of Artificial Neural Networks" (2016), addresses the critical challenge of trajectory correction for hexapod robots by solving the direct kinematics problem and proposing a control system architecture that combines direct and inverse kinematics units with neural network-based correction. This work demonstrates Mamaev's contribution to bridging traditional kinematic modeling with adaptive, AI-driven control—an approach essential for improving the precision and stability of multi-legged robots in unstructured environments. While his citation count is modest, his research represents foundational work in the niche but important field of hexapod robot control, offering practical algorithms for real-time path correction that could inform future developments in autonomous walking robots, search-and-rescue systems, and planetary exploration rovers.
Research Focus
Key Achievements
Top Papers
- 1