Robot Programming

Program robots in MATLAB and Simulink

Robot programming involves designing the controller that governs robot behavior. Because of the growing complexity of robotics, modeling and simulation are becoming crucial to understanding how the controller interacts with the robot’s environmental perception, mobility, and interaction. Modeling and simulation help engineers refine the system design and eliminate errors before developing hardware prototypes.

An ideal robot programming process includes:

Modeling perception and mobility systems
Using simulation to design and validate your control algorithms
Generating C code from your simulation model

For details, see Robotics System Toolbox™, MATLAB^®, and Simulink^®.

Examples and How To

Developing Robotics Applications with MATLAB, Simulink, and Robotics System Toolbox (44:59) (Webinar)
Developing Multivariable Control Systems for Robotics (26:07) (Webinar)
How a Differential Equation Becomes a Robot (6 Videos)
Developing Robotics Applications with Robotics System Toolbox (4:39) (Video)
LEGO MINDSTORMS NXT Support from MATLAB and Simulink (Hardware Support)
Festo Develops Innovative Robotic Arm Using Model-Based Design (User Story)
Reconfigurable Robot Enables University of Toronto Students to Study Realistic Industrial Robots (User Story)

Software Reference

Model a Double Pendulum (Example)
Code Generation from MATLAB Code (Documentation)
Code Generation from Simulink Models (Documentation)

See also: mechatronics, cyber-physical systems, Simscape Multibody, Simscape Power Systems, Control System Toolbox, Embedded Coder, NAO Robot Ankle Kit Simulation

Learn how you can use the algorithms and hardware connectivity in Robotics System Toolbox to develop autonomous mobile robotics applications.

Developing Robotics Applications with Robotics System Toolbox

Watch An Industrial Robot, programmed with MATLAB and Simulink writes a surprise message on a glass panel.

Industrial Robot Programming with MATLAB and Simulink