Udaya Bhaskar Rongala
Scuola Superiore Sant'Anna, Ca' Foscari University of Venice
Papers
5
Total Citations
109
H-Index
5
About
Udaya Bhaskar Rongala’s research lies at the intersection of computational neuroscience, neuromorphic engineering, and robotic tactile sensing, with a focus on how the brain processes touch. His major contributions center on modeling the cuneate nucleus—the brain’s first tactile processing hub—to understand how neural dynamics enable stable, generalizable representations of texture and object properties. In his most cited work (2018, 36 citations), he demonstrated that intracellular dynamics in cuneate neurons support self-stabilizing learning, offering insights for both neuroscience and AI. He further developed a spiking neural network (2019, 23 citations) that learns to classify naturalistic textures under varying conditions, emulating biological tactile afferents. Rongala also advanced practical robotics by identifying slippage on natural surfaces via wavelet transforms (2018, 20 citations) and decoding edge orientation with artificial cuneate neurons (2019, 15 citations). His 2017 review on neuromorphic touch bridges robotics and neuroscience, highlighting his interdisciplinary impact. With over 100 total citations, Rongala’s work is pivotal for creating dexterous robots that learn and adapt like humans, making him a key figure in biomimetic tactile perception.
Research Focus
Key Achievements
Top Papers
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- 4Neuromorphic Artificial Sense of Touch: Bridging Robotics and Neuroscience15 citations · 2017
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