Papers
1
Total Citations
9
H-Index
1
About
M. Prabha is a robotics researcher whose work sits at the intersection of bio-inspired design, machine learning, and autonomous control. Her most-cited paper, "Design and implementation of A Bio-Inspired Robot Arm: Machine learning, Robot vision" (2023, 9 citations), introduces a novel framework for remotely controlling complex humanoid robots using the operator’s own bio-signals. By integrating machine learning with robot vision and collision avoidance, Prabha’s system enables safe, real-time interaction with the environment—even when faced with noisy or imperfect input signals. This contribution is particularly significant for advancing human-robot collaboration in unstructured settings, where reliability and adaptability are critical. Beyond this flagship work, Prabha’s research continues to push the boundaries of intelligent robotic systems, blending biological inspiration with computational intelligence. Her achievements are especially relevant for students and researchers interested in the practical deployment of bio-robotics, offering a compelling example of how interdisciplinary approaches can solve real-world control challenges. With a growing citation footprint, Prabha is establishing herself as a thoughtful contributor to the next generation of autonomous, human-aware machines.
Research Focus
Key Achievements
Top Papers
- 1