Papers
9
Total Citations
63
H-Index
5
About
Pavel Dzitac is a researcher whose work spans the frontiers of robotics and intelligent agriculture, with a particular focus on making automation more reliable, efficient, and accessible. His key research areas include robotic palletizing systems, grip force and slippage control for object manipulation, and the application of artificial intelligence to precision agriculture. Dzitac’s most significant contributions lie in developing practical, low-cost solutions for industrial and agricultural robotics. His highly cited 2008 paper on an efficient control configuration for high-speed robotic palletizing (16 citations) introduced a novel HMI-PLC-servo system that enabled rapid reconfiguration, directly impacting manufacturing productivity. He is also recognized for pioneering a friction-based method to control grip force and prevent slippage (12 citations), a simple yet robust approach that has influenced subsequent work in reliable robotic grasping. More recently, his 2025 overview on intelligent weed management using aerial image processing and precision spraying (10 citations) demonstrates his forward-looking work in sustainable agriculture. Through a series of papers on slippage detection, sensor requirements, and manipulation frameworks, Dzitac has established a coherent body of work that prioritizes affordability and robustness, making advanced robotic capabilities more attainable for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4A depth sensor to control pick-and-place robots for fruit packaging8 citations · 2012
- 5Factors that influence reliable object manipulation5 citations · 2013
- 6Optimal sensing requirement for slippage prevention in robotic grasping4 citations · 2015
- 7
- 8Friction-based slip detection in robotic grasping3 citations · 2015
- 9Robotic object grasping in context of human grasping and manipulation2 citations · 2013