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About

Nalin Harischandra is a pioneering researcher at the intersection of computational neuroscience, biomechanics, and robotics, whose work illuminates how animals move and how machines can learn to sense the world. His primary research areas include neural control of locomotion, bio-inspired tactile sensing, and the use of recurrent neural networks for robotic perception. Harischandra’s major contributions are twofold: first, he decoded the neural and mechanical principles underlying salamander gait generation by integrating neurobiology, mathematical modeling, and robotic platforms—a landmark study (37 citations) that bridges biology and engineering. Second, he advanced insect-inspired tactile sensing, developing vibration-based robotic antennae that enable contour sampling and shape recognition. His innovative use of Echo State Networks (ESN) to create a forward model for active tactile sensors (3 citations) allows robots to distinguish self-generated motion from external stimuli, a critical step toward autonomous exploration. With a total of over 50 citations across his most-cited works, Harischandra’s research offers a compelling blueprint for building adaptive, sensor-rich robots that learn from nature’s designs. His work is essential reading for students and researchers interested in neurorobotics, sensorimotor control, and the future of tactile AI.