Saboktakin Hayati
Papers
1
Total Citations
4
H-Index
1
About
Dr. Saboktakin Hayati is a researcher focused on the intersection of affordable robotics and deep learning, with a particular emphasis on empowering Small and Medium Enterprises (SMEs). Their most-cited work, "An affordable deep learning based solution to support pick and place robotic tasks" (2019, 4 citations), addresses a critical industry challenge: the prohibitive cost of advanced automation. By developing a low-cost vision-guided robotic system, Hayati demonstrates how SMEs can leverage deep learning for precise pick-and-place operations without significant financial investment. This contribution bridges the gap between cutting-edge AI and practical, budget-constrained manufacturing environments. Hayati’s research highlights a commitment to democratizing technology, ensuring that smaller enterprises can compete in an increasingly automated market. Their work not only advances robotic vision but also provides a scalable, accessible framework for real-world industrial applications, making them a key voice in the push for inclusive, cost-effective automation solutions.
Research Focus
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Top Papers
- 1