Papers
41
Total Citations
1,323
H-Index
14
About
Cosmin Copot is a prominent researcher whose work spans robotics, autonomous systems, and advanced control theory, with particular expertise in path planning, visual servoing, and human-robot interaction. His highly cited 2016 survey on heuristic approaches in robot path planning, which has garnered over 630 citations, established him as a leading voice in mobile robotics navigation, while his subsequent work on multi-objective particle swarm optimization for hierarchical path planning (221 citations) further cemented his contributions to intelligent motion planning. Copot has made significant advances in visual servoing for robotic manipulators, developing predictive and fractional-order control strategies that improve stability and convergence in complex, nonlinear systems. His research extends into Industry 4.0, exploring how PID and model predictive control frameworks can address smart manufacturing challenges. More recently, he has pioneered safety-conscious human-robot interaction, introducing gaze-based intention detection and Bayesian deep neural network approaches to prevent collisions in collaborative environments. Across his career, Copot has consistently bridged theoretical control design with practical robotic implementation, making his work invaluable to students and researchers advancing intelligent, autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Heuristic approaches in robot path planning: A survey631 citations · 2016
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- 4MIMO Fuzzy Control for Autonomous Mobile Robot50 citations · 2015
- 5Predictive control of nonlinear visual servoing systems using image moments40 citations · 2012
- 6GazeEMD: Detecting Visual Intention in Gaze-Based Human-Robot Interaction35 citations · 2021
- 7A fractional order control strategy for visual servoing systems26 citations · 2013
- 8Predictive Control Architecture for Visual Servoing of Robot Manipulators23 citations · 2011
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