Mustafa Karaca

Papers

2

Total Citations

6

H-Index

2

About

Mustafa Karaca is a robotics researcher whose work bridges the gap between accessible education and robust artificial intelligence safety. His primary research areas include mobile robotics, visual programming for education, and AI verification and validation. Karaca’s most notable contribution is the development of a ROS-based visual programming tool, which simplifies robot programming by eliminating syntax errors and allowing beginners to translate ideas into logical code structures. This tool, published in 2020, has garnered 4 citations and represents a significant step toward democratizing robotics education for students and novice programmers. In a complementary line of inquiry, Karaca has advanced the field of AI safety through his 2021 study on camera sensor fault injection. By systematically manipulating camera data to simulate real-world anomalies, he created a database that enables rigorous testing of AI perception systems—a critical contribution for ensuring reliability in autonomous robots. This work, with 2 citations, supports the development of more resilient AI in verification and validation activities. Karaca’s dual focus on educational accessibility and technical robustness marks him as a thoughtful researcher committed to both teaching and technological integrity.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
ROS Based Visual Programming Tool for Mobile Robot Education and\n Applications
4 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago