Jozef Kola
Papers
1
Total Citations
2
H-Index
1
About
Jozef Kola is a researcher at the forefront of intelligent robotics, specializing in artificial intelligence, computer vision, and autonomous manipulation. His work centers on bridging the gap between perception and action, enabling robotic systems to interact with their environment in real time. Kola’s most-cited paper, “Detection, Recognition, and Grasping of Objects through Artificial Intelligence Using a Robotic Hand” (2022), demonstrates a novel integration of the YOLO algorithm for object detection with robotic grasping. This system allows a robotic hand to identify everyday objects, filter for man-made items, and execute precise grasps based on real-time visual data—a key step toward more autonomous and adaptable robots for industrial and domestic use. Though early in its impact, this work has already garnered attention for its practical approach to combining deep learning with physical actuation. Kola’s contributions are paving the way for smarter, more responsive robotic assistants, and his ongoing research continues to push the boundaries of how machines perceive and interact with the world.
Research Focus
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Top Papers
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