Natasha Chugh
Papers
1
Total Citations
3
H-Index
1
About
Dr. Natasha Chugh is pioneering the intersection of neuromorphic computing and tactile sensing, with a focus on creating artificial touch systems that rival human dexterity. Her key research areas include biomimetic tactile perception, spiking neural networks for texture classification, and invariant sensory representations for robotics and prosthetics. Her most cited work, "Invariant Neuromorphic Representations of Tactile Stimuli Improve Robustness of a Real‐Time Texture Classification System" (2025, 3 citations), introduces algorithms that generate neuron-like spiking representations of texture—remarkably invariant to real-world variations in scanning speed and contact force. This breakthrough addresses a critical bottleneck in tactile sensing: the fragility of classification under changing physical conditions. By enabling robust, real-time texture recognition, Dr. Chugh’s contributions directly advance the development of more intuitive prosthetic hands and autonomous robotic grippers. Her work stands out for its elegant fusion of computational neuroscience and engineering, offering a scalable path toward truly human-like touch in machines. As a rising voice in neuromorphic engineering, Dr. Chugh’s research promises to reshape how robots and prosthetics interact with the physical world.
Research Focus
Key Achievements
Top Papers
- 1