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DASH: Quadruped Development Kit

Welcome to the official GitHub repository for DASH, a meticulously designed quadruped robot that combines state-of-the-art hardware and software to provide advanced interaction capabilities.

Overview

DASH is a cost-effective quadruped robot that goes beyond basic locomotion to include a range of advanced features. The project involves comprehensive processes from 3D modeling, printing, and assembly to the integration of sophisticated software and hardware systems.

Features

  • Advanced Locomotion: Utilizing sophisticated motor drivers, encoders, and kinematic modeling to achieve stable and dynamic movement.
  • AI Functionalities: Includes gesture control, person following, and natural language interaction.
  • User Interaction: Equipped with a touchscreen display and a camera for vision-based systems.
  • Remote Control: Custom-built app for seamless remote control and interaction.
  • ROS2 Integration: Core functionalities served on a ROS2 system to ensure robust and flexible operation.

Hardware

DASH Quadruped Robot

DASH's hardware components are meticulously connected and integrated to ensure smooth and precise operation. This includes:

  • Motors and Encoders: For precise movement and control.
  • Sensors: Various sensors to provide the robot with environmental awareness.
  • Touchscreen Display: For direct user interaction.
  • Camera: For vision-based systems and AI functionalities.

Software

Software

The software aspect of DASH involves developing robust applications to integrate with hardware functions and enhance user experience through dedicated UIs. This includes:

  • AI Capabilities: Implementing advanced AI functionalities to provide interactive features.
  • Custom-Built App: Allowing users to control the robot and its functionalities remotely.
  • ROS2 System: Ensuring seamless integration and operation of various components.

Usage

  • The 3D print is available in the 3D_model.zip file. (inspired by OpenDogV3)
  • The /ML foilder contains the script and the dataset to train the intent determiner
  • The /ros folder contains the ROS2 workspace.
  • The /dash_app folder contains the code for the flutter app.
  • The /Arduino folder contains the code for the arduinos used for the build.

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