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autonomy

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The code to allow a vehicle to run autonomously using an Nvidia Jetson and Arduino. It uses two neural networks; one determines if the vehicle's path is blocked, and if it is, the second one determines if the buggy must turn left or right. It's all implemented using ROS with nodes for the steering controls, steering filtering, and autonomy.

  • Updated Sep 14, 2020
  • Jupyter Notebook
Robotics-Object-Pose-Estimation

A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

  • Updated Apr 13, 2022
  • Python

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