Developing Autonomous Mobile Robots Using MATLAB and Simulink

Autonomous mobile robots can execute repetitive tasks such as moving packages in warehouses, hospitals and airports.

MATLAB® and Simulink® provide tools and algorithms you can use throughout your workflow for developing autonomous mobile robots, including:

  • Hardware platform design
  • Interfacing with ROS and ROS 2 for sensor data
  • Algorithms for object detection, tracking, and collision avoidance using image processing, deep learning, point cloud processing, and sensor fusion
  • Mapping and pose estimation using lidar SLAM and visual SLAM
  • Path planning and path following algorithms
  • Simulation, verification, and hardware implementation

In addition, automatic code generation enables you to deploy the MATLAB code or Simulink model directly on real-time hardware, GPUs, and embedded CPUs on your autonomous mobile robot.

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