Post by IEEE Transactions on VLSI Systems

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Read "A Real-Time End-to-End Event-Based Tactile Sensing System" by Yuncheng Lu, Kiho Seong, Si En Ng, Shibi Varku, Arindam Basu, Nripan Mathews, and Tony Tae-Hyoung Kim. This paper introduces an energy-efficient, end-to-end event-based tactile sensing system that combines innovative hardware with AI algorithms for real-time perception. Featuring a custom tactile processor, event-driven sensing, and neural network acceleration, the system enables rapid handwritten digit recognition and object classification while consuming just 5.2 mW of total power—advancing the future of always-on robotic touch and intelligent sensing. Read the paper: https://lnkd.in/eY9fw-yH #IEEE #Robotics #TactileSensing #EdgeAI #ArtificialIntelligence #CMOS #IntegratedCircuits #EmbeddedSystems #Semiconductors #Research

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