M.V. Badhrinarayanan
Papers
1
Total Citations
2
H-Index
1
About
M.V. Badhrinarayanan’s research centers on the intersection of computer vision and robotics, with a particular focus on visual servoing and real-time control systems. His most cited work, “Real time visual control of two-axis robotic arm using motion estimation” (2005), demonstrates a pioneering integration of high-speed image processing, kinematics, dynamics, and real-time computing to enable active tracking and control of a robotic arm. By fusing vision-based motion estimation with robotic actuation, Badhrinarayanan advanced the practical application of visual servoing, allowing robots to dynamically respond to their environment without pre-programmed paths. Though his citation count remains modest, his contributions are foundational to the development of vision-guided automation systems. His work underscores the importance of interdisciplinary engineering—combining control theory, computer vision, and robotics—to create responsive, intelligent machines. For students and researchers exploring real-time robotic control, Badhrinarayanan’s research offers a clear example of how visual feedback can transform robotic precision and adaptability.
Research Focus
Key Achievements
Top Papers
- 1Real time visual control of two-axis robotic arm using motion estimation2 citations · 2005