Saeid Mokaram
Papers
6
Total Citations
114
H-Index
4
About
Saeid Mokaram is a leading researcher in human-robot collaboration, with a focus on making industrial robots more accessible and intuitive for human workers. His work centers on the development of graphical communication systems that bridge the gap between novice users and collaborative robots (cobots), particularly within the context of Industry 4.0. Mokaram’s most significant contributions include the creation of a ROS-integrated API for the KUKA LBR iiwa collaborative robot (43 citations), which facilitates rapid programming and safe human-robot interaction. He has also pioneered the use of language-free graphical signage to improve human performance and reduce anxiety in collaborative settings (40 citations), demonstrating that visual instructions can significantly enhance user experience. His experimental manufacturing study (15 citations) further showed that dynamic graphical instructions improve worker attitudes and decrease task completion times. With a total of over 110 citations across his most-cited works, Mokaram’s research has practical implications for manufacturing sustainability, workforce accessibility, and the democratization of robotics. His development of a visual language for human-robotic collaborations represents a notable achievement in making complex robotic systems understandable and usable by non-experts.
Research Focus
Key Achievements
Top Papers
- 1A ROS-integrated API for the KUKA LBR iiwa collaborative robot43 citations · 2017
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- 3
- 4Assessing Graphical Robot Aids for Interactive Co-working10 citations · 2016
- 5Cobotics: developing a visual language for human-robotic collaborations4 citations · 2018
- 6Mobile robots communication and control framework for USARSim2 citations · 2012