Zlatan Car
Papers
10
Total Citations
231
H-Index
7
About
Zlatan Car is a leading researcher in industrial robotics and artificial intelligence, with a focus on optimizing robotic manipulators and swarm systems. His most cited work, "Path planning optimization of six-degree-of-freedom robotic manipulators using evolutionary algorithms" (79 citations), demonstrates how evolutionary computation can reduce joint torques, lowering energy consumption and extending manipulator longevity. Car also pioneered the use of multilayer perceptrons for inverse kinematics (50 citations), simplifying complex joint-angle calculations for precise tool positioning. In manufacturing, his application of the YOLO algorithm for detecting and classifying printed circuit boards (38 citations) addresses critical sorting challenges in PCB factories. Beyond individual robots, Car has advanced robotic swarms through autonomous task allocation via artificial evolution and deep Q-learning control policies. His work on predicting robot grasp robustness and fault classification using neural networks further enhances industrial automation reliability. With over 230 total citations, Car’s research bridges theoretical AI methods with practical robotic applications, making significant contributions to energy-efficient manufacturing, swarm intelligence, and intelligent automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Detection and Classification of Printed Circuit Boards Using YOLO Algorithm38 citations · 2023
- 4
- 5
- 6
- 7
- 8
- 9
- 10