Papers
5
Total Citations
22
H-Index
3
About
Suraj Damodaran is a robotics researcher whose work centers on autonomous navigation, control systems, and the integration of computer vision with mobile robotics. His major contributions lie in developing practical, ROS (Robot Operating System)-enabled solutions for wheeled mobile robots, with a particular focus on trajectory tracking and obstacle avoidance. His most cited work, "Design and Implementation of GA Tuned PID Controller for Desired Interaction and Trajectory Tracking of Wheeled Mobile Robot" (9 citations), demonstrates his expertise in combining genetic algorithms with classical control theory to achieve precise robot motion. Damodaran has also made significant strides in modern autonomous systems, as evidenced by his 2024 paper on ROS2-powered navigation for TurtleBot3 using the Nav2 stack (5 citations), which bridges simulation and real-world deployment. His research extends into agricultural robotics with a ROS-enabled fruit sorting system using YOLOv5 object detection (3 citations), showcasing his ability to integrate perception with navigation. Additionally, his early work on 3D spatial mapping using Kinect sensors (3 citations) laid groundwork for environmental perception. With over 20 total citations, Damodaran's research consistently advances the practical implementation of autonomous mobile robots across diverse applications.
Research Focus
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