Robotics System Toolbox™ provides algorithms and hardware connectivity for developing autonomous mobile robotics applications. Toolbox algorithms include map representation, path planning, and path following for differential drive robots. You can design and prototype motor control, computer vision, and state machine applications in MATLAB® or Simulink® and integrate them with core algorithms in Robotics System Toolbox.
The system toolbox provides an interface between MATLAB and Simulink and the Robot Operating System (ROS) that enables you to test and verify applications on ROS-enabled robots and robot simulators such as Gazebo. It supports C++ code generation, enabling you to generate a ROS node from a Simulink model and deploy it to a ROS network.
Robotics System Toolbox includes examples showing how to work with virtual robots in Gazebo and actual ROS-enabled robots.
Learn the basics of Robotics System Toolbox
Units, coordinate conversion functions
Access ROS networks, robots, and simulators
Explore ROS network, analyze, and visualize sensor data
Map utilization, path planning, path following, state estimation, manipulators
System-level strategies for designing simulated and real robot applications
Generate C/C++ code and MEX functions for algorithm acceleration and standalone ROS nodes
Support for third-party hardware