Nurettin Abut
Papers
2
Total Citations
20
H-Index
2
About
Nurettin Abut is a researcher whose work sits at the intersection of robotics, artificial intelligence, and industrial automation. His primary research areas include coverage path planning for autonomous robots, knowledge reasoning systems, and the application of virtual reality in industrial settings. Abut’s most notable contribution is the development of a hybrid spiral STC-Hedge Algebras model, which enhances robot navigation by enabling more efficient and intelligent coverage path planning with obstacle avoidance. This work, published in 2019, has garnered 18 citations, reflecting its relevance to the growing field of humanoid and service robotics. In a separate line of inquiry, Abut has explored the use of virtual reality to improve industrial automation systems, exemplified by his 2020 study on an industrial robot station application. While still early in its citation impact, this work demonstrates his commitment to bridging cutting-edge digital tools with practical manufacturing challenges. Through these contributions, Abut is helping to shape more adaptive, empathetic, and efficient robotic systems for both industrial and human-interactive environments.
Research Focus
Key Achievements
Top Papers
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