Chaitat Utintu
Papers
1
Total Citations
5
H-Index
1
About
Chaitat Utintu is a robotics and computer vision researcher whose work focuses on enabling autonomous systems to interpret real-world analog instrumentation. His most-cited paper, "Real-time Multiple Analog Gauges Reader for an Autonomous Robot Application" (2022), addresses a critical bottleneck in industrial automation: the manual reading of analog gauges. By developing a real-time, vision-based system that allows robots to autonomously detect and interpret multiple gauge readings simultaneously, Utintu directly tackles a practical challenge in manufacturing environments. This contribution bridges the gap between traditional factory equipment and modern robotic automation, reducing the need for human intervention in routine monitoring tasks. While his citation count is still growing—reflecting the early stage of his impactful work—his research has clear potential for wide adoption in smart manufacturing and Industry 4.0 applications. Utintu’s work exemplifies how targeted computer vision solutions can solve persistent industrial problems, making him a promising voice in applied robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1