N. Knezevic
Papers
6
Total Citations
39
H-Index
4
About
N. Knezevic is a leading researcher at the intersection of robotics, artificial intelligence, and human-centered manufacturing, driving the transition toward Industry 5.0. Their work focuses on creating intelligent, flexible automation systems that prioritize human well-being alongside productivity. Knezevic’s major contributions include pioneering the use of deep learning for versatile waste sorting in small-batch manufacturing, demonstrating how the Segment Anything Model (SAM) can enable rapid adaptation to diverse materials. They also developed a groundbreaking neuroergonomic workstation that integrates psychological and physical assessment with collaborative robots, enhancing both worker safety and efficiency. With over 39 citations across their most influential papers, Knezevic’s impact is evident in advancing autonomous exploration strategies using multi-criteria decision-making and D* Lite algorithms, as well as optimizing compliant robot stiffness through incremental learning. Notable achievements include proof-of-concept implementations for human-robot collaboration and extended reality-assisted assembly, showcasing their commitment to practical, human-centric automation. Knezevic’s work is essential reading for anyone interested in the future of flexible, safe, and intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Streamlining Drywall Assembly: CAD-Driven Robotic Assembly1 citations · 2025
- 6