Grigoris S. Piperagkas
Papers
1
Total Citations
46
H-Index
1
About
Grigoris S. Piperagkas is a researcher at the forefront of intelligent robotics and human-robot collaboration, with a particular focus on making industrial automation more accessible and adaptive. His key research areas include assembly by demonstration, advanced human-robot interaction, and knowledge integration frameworks for manufacturing. Piperagkas’s major contribution lies in developing methods that allow conventional industrial robots to learn assembly tasks directly from human demonstration, bypassing the need for time-consuming reprogramming by expert operators. This work, notably detailed in his highly cited 2017 paper “Teaching Assembly by Demonstration Using Advanced Human Robot Interaction and a Knowledge Integration Framework” (46 citations), addresses a critical bottleneck in flexible manufacturing—reducing setup time and expertise requirements. By enabling robots to acquire skills through natural human guidance, Piperagkas’s research bridges the gap between rigid hard automation and the need for adaptable, user-friendly robotic systems. His achievements highlight a vision where robots can be taught by non-specialists, democratizing automation and accelerating deployment in small and medium enterprises. Piperagkas’s work continues to influence the fields of cognitive robotics and human-robot skill transfer, making him a notable figure in the evolution of intelligent manufacturing.
Research Focus
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Top Papers
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