A Pajaziti
Papers
1
Total Citations
2
H-Index
1
About
A Pajaziti’s research sits at the intersection of robotics, artificial intelligence, and human-machine interaction, with a focus on enabling machines to perceive, recognize, and physically interact with their environment. Their most cited work, “Detection, Recognition, and Grasping of Objects through Artificial Intelligence Using a Robotic Hand” (2022), demonstrates a practical integration of computer vision and manipulation. By implementing the YOLO algorithm for real-time object detection and filtering, Pajaziti developed a system that allows a robotic hand to identify everyday objects and autonomously grasp the object of interest. This contribution advances the field of intelligent robotics by bridging visual perception with physical action—a core challenge in autonomous systems. Though early in its citation impact, the work signals a promising direction for assistive robotics and industrial automation. Pajaziti’s research embodies the growing synergy between deep learning and mechatronics, offering a tangible step toward more adaptive, human-aware robotic systems. Their efforts highlight the potential of AI-driven manipulation in real-world applications, from manufacturing to rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1