Papers
2
Total Citations
24
H-Index
2
About
Dr. Michael Mahesh K is a pioneering researcher at the intersection of autonomous systems and bio-inspired robotics, whose work is shaping the future of intelligent human-machine interaction. His primary research areas include advanced driver assistance systems, deep learning for autonomous decision-making, and bio-signal controlled robotics. Dr. Mahesh K’s most impactful contribution is the "DeepDrive" framework, which integrates optimized Generative Adversarial Networks (GANs) with Deep Convolutional Neural Networks (CNNs) to enhance braking decision-making in autonomous vehicles—a critical safety innovation that has already garnered 15 citations. Equally notable is his design and implementation of a bio-inspired robot arm, which translates noisy operator bio-signals into precise, remote control of complex humanoid robots. By fusing machine learning, robot vision, and collision avoidance, this work (9 citations) demonstrates safe, intuitive interaction even under challenging conditions. Dr. Mahesh K’s research not only advances autonomous driving safety but also pioneers accessible, robust control systems for assistive robotics, marking him as a rising authority in human-centered AI and robotic automation.
Research Focus
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Top Papers
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