Robotics System Toolbox™ provides algorithms and hardware connectivity for developing autonomous robotics applications for aerial and ground vehicles, manipulators, and humanoid robots. Toolbox algorithms include path planning and path following for differential drive robots, scan matching, obstacle avoidance, and state estimation. For manipulator robots, the system toolbox includes algorithms for inverse kinematics, kinematic constraints, and dynamics using a rigid body tree representation.
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 includes examples showing how to work with virtual robots in Gazebo and with actual ROS-enabled robots.
Robotics System Toolbox supports C++ code generation, enabling you to generate a ROS node from a Simulink model and automatically deploy it to a ROS network. Support for Simulink external mode lets you view signals and change parameters while your deployed model is running.
Learn the basics of Robotics System Toolbox
Units, coordinate conversion functions
Access ROS networks, robots, and simulators
Collect and analyze sensor data utilizing ROS messages
Mapping, localization, SLAM, path planning, path following, state estimation
Inverse kinematics and dynamics for rigid body tree robot representations
Guidance models and waypoint following for unmanned aerial vehicles (UAVs)
Generate C/C++ code and MEX functions for algorithm acceleration and standalone ROS nodes
Support for third-party hardware