Yashaswi S. Kuruganti
Papers
3
Total Citations
23
H-Index
2
About
Yashaswi S. Kuruganti’s research bridges robotics, human–machine interaction, and engineering education, with a focus on making robot programming accessible and intuitive. His most cited work, “Monocular Tracking of Human Hand on a Smart Phone Camera using MediaPipe and its Application in Robotics” (2021, 17 citations), introduces a lightweight, vision-based method for controlling robots via natural hand gestures captured by a smartphone camera. By leveraging MediaPipe’s real-time hand tracking, Kuruganti demonstrates how machine learning can replace traditional, expertise-dependent programming methods—a significant step toward democratizing robotics in Industry 4.0 environments. His contributions to pedagogy are equally notable: in “Effective Teaching and Learning of Homogenous Transformation Matrix using RoboAnalyzer Software” (2019, 4 citations) and “Effective Teaching of Homogenous Transformations and Robot Simulation Using Web Technologies” (2021, 2 citations), he develops interactive tools that help students grasp complex spatial mathematics through simulation. These works underscore his commitment to lowering barriers—both in the classroom and on the factory floor—by combining accessible software with practical robotics applications. Kuruganti’s research continues to influence how engineers learn and deploy robotic systems.
Research Focus
Key Achievements
Top Papers
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