M. Kannan
Papers
3
Total Citations
26
H-Index
3
About
M. Kannan is a researcher whose work bridges robotics and artificial intelligence, with a focus on practical applications in agriculture and healthcare. His early contributions center on robotic arm design, notably for a coconut-tree climbing robot (2015, 13 citations), addressing a critical need in southern India where coconut is a dietary staple. This work demonstrates his commitment to solving region-specific challenges through engineering innovation. Kannan also advanced human-robot interaction by implementing gesture control for robotic arms using a Kinect module (2015, 8 citations), enabling intuitive motion mimicry of the human arm. More recently, his research has expanded into clinical intelligence (2024, 5 citations), exploring deep reinforcement learning’s potential to extract complex decision-making policies from raw healthcare data. This shift highlights his versatility and forward-looking approach, applying cutting-edge AI to biomedical domains. Kannan’s work, though modest in citation counts, reflects a thoughtful trajectory from tangible robotic solutions to sophisticated computational methods, making him a researcher of growing influence in both engineering and AI-driven healthcare.
Research Focus
Key Achievements
Top Papers
- 1Robotic Arm Design for Coconut-Tree Climbing Robot13 citations · 2015
- 2Implementation of Gesture Control in Robotic Arm Using Kinect Module8 citations · 2015
- 3Clinical Intelligence5 citations · 2024