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About

Sriramana Sankar is at the forefront of biomimetic robotics and neuromorphic tactile sensing, pioneering technologies that bridge the gap between artificial and human touch. Her research centers on developing soft robotic systems with sophisticated tactile capabilities, aiming to create prosthetic hands that can replicate the nuanced sensory feedback of their biological counterparts. Sankar’s most impactful work, a 2025 study on a natural biomimetic prosthetic hand with neuromorphic tactile sensing (71 citations), demonstrates a breakthrough in achieving precise and compliant grasping by integrating soft and rigid anatomical structures. She has also made significant contributions to texture discrimination, developing flexible tactile sensor arrays for soft biomimetic fingers (18 citations) and multilayer sensors for robotic fingertips (6 citations). Notably, her 2025 work on invariant neuromorphic representations of tactile stimuli (3 citations) introduces algorithms that create spiking neural representations of texture, robust to variations in scanning speed and contact force—a critical step toward real-time, reliable texture classification in prosthetic and robotic systems. Sankar’s innovative fusion of materials science, sensor design, and neural coding is shaping the future of dexterous, touch-sensitive prosthetics.