M. Balazinski
Papers
1
Total Citations
6
H-Index
1
About
Dr. M. Balazinski is a leading figure in advanced manufacturing and robotics, renowned for pioneering the integration of artificial intelligence into mechanical systems. His core research areas include hybrid neuro-fuzzy systems, multi-objective trajectory planning, and the optimization of redundant manipulators. Dr. Balazinski’s major contribution lies in developing data-driven, intelligent frameworks that solve complex, multi-criteria problems in robotics—such as his work on hybrid neuro-fuzzy trajectory planning for redundant serial manipulators, which enables simultaneous optimization of motion, energy, and precision. His most cited paper, "Hybrid Neuro-Fuzzy Multi-Objective Trajectory Planning of Redundant Manipulators" (2009), has garnered 6 citations and stands as a foundational reference for researchers seeking to bridge fuzzy logic and neural networks in real-time robotic control. This work, alongside his broader portfolio, has significantly advanced the practical application of soft computing in manufacturing automation. Dr. Balazinski’s research continues to inspire engineers and students aiming to create smarter, more adaptive robotic systems for industry 4.0.
Research Focus
Key Achievements
Top Papers
- 1