Cahit Erkal

University of Tennessee at Martin

Papers

1

Total Citations

2

H-Index

1

About

Cahit Erkal is a researcher focused on intelligent automation and robotics, with a particular emphasis on applying autonomous systems to real-world challenges. His work centers on the development of practical, task-oriented robots that can perform mundane but essential work, especially in environments where human safety or efficiency is a concern. Erkal’s most notable contribution is the "AutonoMop" project, introduced in his 2022 paper *AutonoMop: Automating Mundane Work in the COVID-19 Era*. This work directly addressed the urgent need for contactless sanitation during the pandemic, proposing a robotic solution for janitorial tasks in high-risk settings such as hospitals and industrial buildings. Though a relatively recent publication, the paper has already garnered 2 citations, signaling growing interest in his approach to automating routine cleaning operations. By targeting the intersection of robotics, public health, and labor automation, Erkal is carving out a niche in applied autonomous systems. His research is particularly valuable for students and engineers interested in how robotics can be rapidly deployed to solve pressing societal problems, demonstrating that even modest citation counts can reflect impactful, timely innovation.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
AutonoMop, Automating Mundane Work in the COVID-19 Era
2 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Tennessee at Martin

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago