Divya Gunasekaran
Papers
1
Total Citations
2
H-Index
1
About
Divya Gunasekaran is a researcher at the intersection of cognitive robotics and neuroscience, whose work explores how principles of brain organization can inform the design of intelligent robotic systems. Her most-cited paper, "Cognitive and action control for goal-directed reaching in a humanoid robot" (2017, 2 citations), investigates how hierarchical architectures combining multiple behavioral control systems can enable humanoid robots to achieve more human-like performance in goal-directed reaching tasks. This research addresses a fundamental challenge in robotics: despite advances in artificial intelligence, replicating the fluid, adaptive motor control of biological systems remains elusive. Gunasekaran's approach draws inspiration from the brain's own design—specifically, how it integrates cognitive and action control mechanisms to coordinate complex movements. By applying these neural principles to robotic platforms, her work contributes to the growing field of neurorobotics, which seeks to bridge the gap between biological intelligence and artificial systems. Her research is particularly relevant for students and researchers interested in embodied cognition, motor control, and the development of more adaptive, brain-inspired robots.
Research Focus
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Top Papers
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