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Implementations of a core subset of features needed for a working robot.

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Udacity Robotics Nanodegree

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Udacity-Robotics

These are work and projects I developed as a part of Udacity Robotics Nanodegree Program.

Relevant Projects

You can also view my self driving car projects and computer vision projects.

In this project, I'll:

  • write code to autonautonomously map a simulated environment, search for samples of interest, and pick them up.
  • use Kinematics and ROS to manipulate a robotic arm in simulation with six degrees of freedom to pick up an object from one location and place it in another without running into obstacles.
  • program a Willow Garage, two-armed PR2 robot to locate an object in a cluttered environment and then relocate it to a new location
  • train a deep neural network to identify and track a target in simulation and then issue commands to a drone to follow that target.

Environment Setup

Make sure you have Anaconda installed. Then, run conda env create -f environment.yml to install all necessary packages needed for all my projects.

If you have issues installing packages, get more instructions here.

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Implementations of a core subset of features needed for a working robot.

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