Zaviša Gordić

University of Belgrade

Papers

8

Total Citations

49

H-Index

4

About

Dr. Zaviša Gordić is a leading researcher at the intersection of industrial robotics, human-robot collaboration, and intelligent automation, with a strong focus on advancing the principles of Industry 5.0. His major contributions include developing non-model-based collision detection algorithms for industrial robots using modified Dynamic Time Warping, enabling safer human-robot interaction without external sensors. Dr. Gordić has also pioneered work in robot tool centre point calibration using camera-based systems, significantly improving industrial precision. His recent groundbreaking research introduces neuroergonomic workstations that integrate psychological and physical assessment to enhance worker well-being and productivity in collaborative manufacturing environments. With over 49 citations across his most influential works, Dr. Gordić’s research has practical implications for e-waste recycling automation and extended reality-assisted assembly processes. His 2024 paper on neuroergonomic workstations represents a notable achievement, offering a proof-of-concept for human-centered automation that balances technological efficiency with worker welfare. Through his innovative framework for including unmodelled contact dynamics in robotics, Dr. Gordić continues to shape the future of safe, adaptive, and human-centric industrial systems.

Research Focus

Key Achievements

4
H-Index
8
Papers
49
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Calibration of robot tool centre point using camera-based system
13 citations · 2016
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Belgrade

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 69 days ago