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We describe a real time robot navigation system based on three VLSI neural network modules. These are a resistive grid for path planning, a nearest-neighbour classifier for localization using range data from a time-of-flight infra-red sensor and a sensory-motor associative network for dynamic obstacle avoidance .
Two new class AB output stages for CMOS op-amps are proposed with accurate quiescent current control. The second proposed stage also provides accurate control of the minimum current through the output transistors. The proposed stages can be operated with a supply voltage close to a transistor threshold voltage. A dynamic biasing scheme allows them to(More)
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