Improved fully convolutional neural network model for locating and identifying plants in a crop field image as either corn, okra, or weeds. This network will be used in a weeding robot. It shows a dramatic improvement in its ability to find plants within the images.
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Discussion of the test results from version 0.3 of the Jetduino robotics interface board for the Jetson TK1.
Strategies for reducing the cost of the Jetduino, and what impacts that will have. Description of the different board options, and estimated prices.
Description of the Jetduion V0.2 test results and future plans.
Showing the first Jetduino being built, a description of the initial test results, and a list of modifications for version 2 of the Jetduino.
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NeuroRobotic Technologies is dedicated to creating the next generation of intelligent, adaptive robotic systems by building autonomous controls systems that mimic the brains of real animals.