Abdullah Solayman
Papers
4
Total Citations
15
H-Index
3
About
Abdullah Solayman is at the forefront of advancing robotic tactile perception, with a primary focus on vision-based tactile sensors (VBTS) and neuromorphic sensing. His work bridges the gap between simulation and real-world application, notably through the development of "NeuTac," a zero-shot sim-to-real framework for neuromorphic vision-based tactile sensors that addresses the challenge of asynchronous data processing. Solayman has also pioneered the use of direct ink writing (DIW) for fabricating elastomeric VBTS, achieving a 76% reduction in fabrication time while enhancing design precision and reducing complexity compared to traditional molding techniques. His comparative studies on mechanical behavior and contact pose estimation have provided critical insights into sensor performance. Additionally, his work on "PiezoSight" integrates piezoresistive stimulation with neural network processing to overcome calibration limitations, enabling hybrid sensing capabilities. With over 15 citations across his key publications, Solayman’s innovative contributions are shaping the future of robotic touch, offering scalable, efficient solutions for high-resolution tactile feedback in autonomous systems.
Research Focus
Key Achievements
Top Papers
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