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Mobile Robot Pathfinding and Pick-and-Place Operation

Introduction

This is a repository for a mobile robot control using Unity Machine Learning Agent (ML-Agents) and Robot Operating System (ROS).

The Reinforcement Learning packages are obtained from ML-Agents toolkit, which is an open-source project that enables games and simulations to serve as an environment for training agents.

Some of the software and hardware requirements (Preferred) are listed below:

Software

  • Windows10 (64bit), Ubuntu18.04
  • Python 3.6.13
  • Anaconda 4.5.4
  • Tensorflow 2.3.4
  • mlagents 0.20.0
  • Unity version 2020.3.26f1
    • ML-Agents 1.4.0-Preview
    • ROS TCP Connector 0.7.0-Preview
    • URDF Importer

Hardware

  • CPU: Intel Xeon(R) W-1250 CPU @ 3.30GHZ * 12
  • GPU : GeForce RTX 3080
  • Driver : 470.161.03
  • Memory : 10GB

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