Abdul Fatir Ansari

Papers

Total Citations

124

H-Index

About

Abdul Fatir Ansari is a leading researcher in neuromorphic sensing and robotic perception, with a focus on event-driven visual-tactile systems. His major contributions center on developing biologically-inspired sensors and learning algorithms that enable robots to process tactile and visual information with unprecedented efficiency. Ansari’s most cited work introduces the NeuTouch sensor, a neuromorphic fingertip tactile device that scales effectively with taxel count through event-based data acquisition, mimicking biological touch. Combined with spike-based multi-modal learning, this system allows robots to integrate touch and sight in real time, advancing dexterous manipulation and human-robot interaction. With over 118 citations for his foundational 2020 paper, Ansari’s research has significantly impacted the fields of robotics and embodied AI, offering a path toward more adaptive and energy-efficient autonomous systems. His work is particularly notable for bridging neuroscience and engineering, inspiring new approaches in tactile sensing and event-driven computation.