B.A. Morozov
Papers
1
Total Citations
4
H-Index
1
About
B.A. Morozov is a robotics researcher specializing in intelligent control systems for industrial manipulators operating in hazardous environments, particularly nuclear fields. His most cited work, "Control System of the Robot Manipulator with Use of Neural Network Algorithms of Restriction of Work Area of the Gripper" (2017, 4 citations), introduces a novel control architecture that enhances operational safety by integrating an artificial neural network as an additional monitoring layer. This system restricts the gripper's work area, preventing dangerous movements and collisions during remote manipulation of radioactive materials. Morozov's contribution lies in bridging classical control theory with adaptive neural algorithms, creating a redundant safety mechanism that does not compromise manipulator precision. While his citation count is modest, the applied nature of his research—directly addressing real-world constraints in nuclear decommissioning and waste handling—demonstrates practical impact in high-stakes industrial robotics. His work represents an important step toward autonomous, fail-safe robotic systems in environments where human intervention is impossible.
Research Focus
Key Achievements
Top Papers
- 1