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- W4300691827 abstract "Neuromorphic computing is a promising solution for reducing the size, weight and power of mobile embedded systems. In this paper, we introduce a realization of such a system by creating the first closed-loop battery-powered communication system between an IBM TrueNorth NS1e and an autonomous Android-Based Robotics platform. Using this system, we constructed a dataset of path following behavior by manually driving the Android-Based robot along steep mountain trails and recording video frames from the camera mounted on the robot along with the corresponding motor commands. We used this dataset to train a deep convolutional neural network implemented on the TrueNorth NS1e. The NS1e, which was mounted on the robot and powered by the robot's battery, resulted in a self-driving robot that could successfully traverse a steep mountain path in real time. To our knowledge, this represents the first time the TrueNorth NS1e neuromorphic chip has been embedded on a mobile platform under closed-loop control." @default.
- W4300691827 created "2022-10-04" @default.
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- W4300691827 date "2016-11-03" @default.
- W4300691827 modified "2023-09-24" @default.
- W4300691827 title "A Self-Driving Robot Using Deep Convolutional Neural Networks on Neuromorphic Hardware" @default.
- W4300691827 doi "https://doi.org/10.48550/arxiv.1611.01235" @default.
- W4300691827 hasPublicationYear "2016" @default.
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