Vedran Mrzljak
Papers
1
Total Citations
50
H-Index
1
About
Dr. Vedran Mrzljak is a prominent researcher in the fields of robotics, artificial intelligence, and mechanical engineering, with a particular focus on industrial automation and energy systems. His most cited work, "Utilization of multilayer perceptron for determining the inverse kinematics of an industrial robotic manipulator" (2021, 50 citations), represents a significant contribution to robotics by demonstrating how artificial neural networks—specifically feed-forward multilayer perceptrons—can efficiently solve the complex inverse kinematics problem for robotic manipulators. This approach streamlines the calculation of joint angles needed to position a tool precisely, addressing a critical challenge in industrial robotics. Beyond this flagship paper, Dr. Mrzljak has published extensively on topics including ship propulsion systems, Stirling engines, and exergy analysis, often applying machine learning techniques to optimize mechanical performance. His work bridges the gap between traditional mechanical engineering and modern AI, making him a valuable resource for students and researchers interested in the practical application of neural networks to real-world engineering problems. His research continues to influence advancements in both robotics and sustainable energy technologies.
Research Focus
Key Achievements
Top Papers
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