Aditya Narayanamoorthy

Agency for Science, Technology and Research, Institute for Infocomm Research

Papers

Total Citations

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About

Aditya Narayanamoorthy is a robotics researcher whose work bridges cognitive architectures and practical robotic programming tools. His most impactful contribution, "Cognitive memory and mapping in a brain-like system for robotic navigation" (2016, 37 citations), explores how biologically inspired memory and spatial mapping can enhance autonomous navigation—a key challenge in creating robots that understand and move through complex environments. This work positions him at the intersection of cognitive science and robotics, offering novel approaches to how machines can learn and recall spatial information. Beyond theoretical models, Narayanamoorthy has advanced accessible robotics development. His paper on "Creating ROS launch files using a visual programming interface" (2015, 10 citations) addresses a critical usability gap in the Robot Operating System (ROS), making robot programming more intuitive through graphical interfaces. He further contributed to industrial robotics with "A robotics simulator platform for RADOE" (2016, 5 citations), which integrates Gazebo and Rviz for streamlined simulation in the Robot Application Development and Operating Environment project. Together, his work demonstrates a commitment to both foundational cognitive models and practical tools that lower barriers for roboticists, making his research valuable for students and engineers alike.