Hasan Ocak
Papers
12
Total Citations
133
H-Index
4
About
Hasan Ocak is a prolific researcher whose work sits at the dynamic intersection of mobile robotics, autonomous systems, and human-machine interaction. His research portfolio spans intelligent robot navigation, real-time image processing, localization, and brain-computer interfaces, establishing him as a versatile contributor to applied robotics engineering. Ocak's most impactful contribution — a multi-sensor brain-computer interface for a robotic wheelchair (2017, 59 citations) — demonstrates his ability to bridge neurotechnology and assistive robotics, offering meaningful solutions for individuals with mobility impairments. His widely adopted Mobile Robot Toolbox for MATLAB (2017, 30 citations) has become a practical resource for the broader robotics research community, reflecting his commitment to accessible, reproducible tools. Across his career, Ocak has tackled foundational challenges in autonomous platforms, including DSP-based real-time lane detection, fuzzy logic obstacle avoidance, LIDAR-based gap detection, and image-processing-driven indoor localization — consistently developing and validating solutions on custom-built mobile robot hardware. His work on human-tracking robots and virtual-reality-controlled platforms further underscores his range. With over 120 cumulative citations, Ocak's research offers valuable entry points for students exploring autonomous navigation, sensor fusion, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2A New Mobile Robot Toolbox for Matlab30 citations · 2017
- 3
- 4Development of a human tracking indoor mobile robot platform7 citations · 2014
- 5Fuzzy logic-based moving obstacle avoidance method4 citations · 2019
- 6
- 7Image processing based indoor localization system4 citations · 2014
- 8
- 9Image Processing Based Low Cost Range Finder3 citations · 2013
- 10Virtual-reality-based remote-controlled mobile robot platform3 citations · 2017