Analog VLSI and neural systems
Analog VLSI and neural systems
International Journal of Circuit Theory and Applications - Special Issue on CNN Technology (Part 2)
Robotics and Autonomous Systems
Early slip detection with a tactile sensor based on retina
Analog Integrated Circuits and Signal Processing
Detection of incipient object slippage by skin-like sensing andneural network processing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper presents a bioinspired integrated tactile coprocessor that is able to generate a warning in the case of slippage via the data provided by a tactile sensor. Some implementations use different layers of piezoresistive and piezoelectric materials to build upon the raw sensor and obtain the static (pressure) as well as the dynamic (slippage) information. In this paper, a simple raw sensor is used, and a circuitry is implemented, which is able to extract the dynamic information from a single piezoresistive layer. The circuitry was inspired by structures found in human skin and retina, as they are biological systems made up of a dense network of receptors. It is largely based on an artificial retina [22], which is able to detect motion by using relatively simple spatial temporal dynamics. The circuitry was adapted to respond in the bandwidth of microvibrations produced by early slippage, resembling human skin. Experimental measurements from a chip implemented in a 0.35-µm four-metal two-poly standard CMOS process are presented to show both the performance of the building blocks included in each processing node and the operation of the whole system as a detector of early slippage.