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.