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deep-learning-robot's Introduction

Aavaes-Robot-Software-DEV-Plan

Robot User interface and Digital Signage application for commercial purposes.

  • Tablet app to guide the user to download mobile app on phone and subsequent setup procedures
  • User uses mobile app to connect to robot via BT and provisioning WiFi configurations to the robot (Tablet & ROS board)
  • Digital Signage player:
  • Node.js
  • Html5, CSS3 and javascript

Content management platform for Digital Signage funtionallity

  • Server (API) Express.js
  • Frontend Angular.js + react.js

Control by Mobile App

  • Android app
  • iOS app
  • GUI to control base movement

Navigation & Obstacle Avoidance

SLAM Module

  • SLAM stands for "Simultaneous Localization and Mapping"
  • The robot must be able to construct and update a map on an unknown environment while simultaneously keeping track its location.
  • Must integrate with some sensors including:
  • LiDAR (the most important one)
  • Electronic compass
  • RGB-D sensors (ex. Kinect or XtionPro Live ...etc)
  • We will leverage ROS gmapping module
  • http://wiki.ros.org/gmapping?distro=indigo
  • We will develop a mobile app to display the map and user can specify where the robot to go.

Speech Interactions

Computer Vision and Object Recognition

Auto Docking

  • When the power is low, or the robot received command to go to base dock, it should automously move to the docking station to charge the power.

deep-learning-robot's People

Contributors

albertovalverde avatar

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