QBot 3

Quanser | Engineering Lab Solutions
Quanser QBot 3 - Autonomous Ground Robot
Quanser QBot 3 - Customizable Autonomous System
Quanser QBot 3 - Customizable Autonomous System

High-performance Autonomous Ground Robot for Indoor Labs

The Quanser QBot 3 stands out as an innovative, open-architecture autonomous ground robot built on a 2-wheel mobile platform. Complete with integrated sensors and a sophisticated vision system, it is accompanied by comprehensive courseware, making it an optimal choice for teaching both undergraduate and advanced robotics and mechatronics courses. The courseware comprises independent modules, providing professors with the flexibility to effortlessly select, modify, or create new exercises for their courses.

In addition to its primary functions, the QBot 3 boasts a reinforced landing platform and cargo plate, doubling as an electromechanical prototyping platform for design projects. Its open-architecture control structure enables users to incorporate various off-the-shelf sensors and personalize the QBot 3 to suit their research needs. This customization spans diverse areas, including vehicle navigation and control, autonomous vehicle management, machine learning, computer vision, multi-agent heterogeneous, and swarm robotics, among other possibilities.

Features

  • Curriculum and lab exercises for robotics and mechatronics courses
  • Deploy applications via Simulink, Python and/or ROS
  • Support for off-the-shelf sensors and actuators using fully accessible 40-pin I/O header and Pi HATs
  • Open-architecture design with fully documented system models and parameters provided
  • Electromechanical prototyping platform and landing pad for use with UAVs
  • Easy integration of additional elements of the Quanser Autonomous Vehicle Research Studio
  • Wide range of sensors including bumpers, wheel-drop and cliff sensors, 3-axis gyroscope, Intel RealSense D415 RGBD camera

Courseware

The courseware laboratory exercises are organized in a set of independent modules, allowing professors to select and adapt them easily for an existing course, or build a new course.

  • Forward and inverse differential kinematics
  • Dead reckoning and odometric localization
  • Path planning and obstacle avoidance
  • 2D mapping and occupancy grid map
  • Image acquisition, processing and reasoning
  • High-level control architecture of mobile robots
  • Vision-guided vehicle control

Workstation Configuration

QBot 3 Bundle Components

  • QBot 3 ground robot
  • QUARC Autonomous License
  • Wireless router

More Information