Sreehari Sreenath
Papers
1
Total Citations
17
H-Index
1
About
Sreehari Sreenath is a researcher at the intersection of robotics, computer vision, and human-robot interaction, with a focus on making robotic systems more accessible through intuitive interfaces. His most-cited work, "Monocular Tracking of Human Hand on a Smart Phone Camera using MediaPipe and its Application in Robotics" (2021, 17 citations), addresses a critical barrier in Industry 4.0: the need for specialized training to program industrial robots. By leveraging MediaPipe’s hand-tracking capabilities on a standard smartphone camera, Sreenath demonstrates how machine learning can replace complex robot kinematics with natural hand gestures, enabling operators to control robots without prior technical expertise. This contribution bridges the gap between advanced automation and practical usability, reducing dependency on robot technicians. Sreenath’s research highlights the potential of low-cost, accessible technologies to democratize robotics in manufacturing and beyond. His work has been recognized for its direct applicability in smart factories, where it streamlines production workflows and lowers adoption barriers. With a growing citation impact, Sreenath continues to explore how vision-based interfaces can transform human-robot collaboration, making him a notable voice in the field of applied robotics and human-centered automation.
Research Focus
Key Achievements
Top Papers
- 1