MATLAB and Simulink
for Robotics

Convert your robotics ideas and concepts into autonomous systems that work seamlessly in real-world environments.

 

Robotics researchers and engineers use MATLAB and Simulink to design and tune algorithms, model real-world systems, and automatically generate code – all from one software environment. 

With MATLAB and Simulink, you can:

  • Connect to and control your robot with the algorithms you develop.
  • Develop hardware-agnostic algorithms and connect to the Robot Operating System - both ROS and ROS2.
  • Connect to a range of sensors and actuators so you can send control signals or analyze many types of data.
  • Eliminate hand-coding by automatically generating code for embedded targets like microcontrollers, FPGAs, PLCs, and GPUs in many languages such as C/C++, VHDL/Verilog, Structured Text, and CUDA.
  • Connect to low-cost hardware such as Arduino and Raspberry Pi using pre-built hardware support packages.
  • Simplify design reviews by creating shareable code and applications.
  • Work with legacy code and integrate with existing robotics systems.

Watch a Robotics Example

Simplify the complex tasks of robotic and ground vehicle path planning and navigation using MATLAB and Simulink. This demonstration walks through how to simulate an autonomous robot using just three components: a path, a vehicle model, and a path following algorithm.

Follow along:

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Designing the Hardware Platform

Design and analyze 3D rigid-body mechanics (such as vehicle platforms and manipulator arms) and actuator dynamics (such as mechatronic or fluid systems). You can work directly with existing CAD files by importing URDF files directly into Simulink or from CAD software like SolidWorks and Onshape. Add constraints, such as friction, and model multi-domain systems with electrical, hydraulic, or pneumatic, and other components. Once in operation, reuse design models as digital twins.


Collecting Sensor Data

You can connect to sensors through ROS. Specific sensors, such as cameras, LiDAR, and IMUs, have ROS messages that can be converted to MATLAB data types for analysis and visualization.

You can automate common sensor processing workflows such as importing and batch-processing large data sets, sensor calibration, noise reduction, geometric transformation, segmentation, and registration.


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Perceiving the Environment

Built-in MATLAB apps let you interactively perform object detection and tracking, motion estimation, 3D point-cloud processing, and sensor fusion. Use deep learning for image classification, regression, and feature learning using convolutional neural networks (CNNs).

Automatically convert your algorithms into C/C++, fixed-point, HDL, or CUDA code.  


制定规划和决策

使用 LiDAR 传感器数据,通过 Simultaneous Localization and Mapping (SLAM) 创建环境地图。
通过设计算法进行路径和运动规划,在受约束的环境中导航。使用路径规划器,计算任何给定地图中的无障碍路径。

设计算法,让机器人在面对不确定情况时能做出决策,在协作环境中执行安全操作。实现状态机,定义决策所需的条件和行动。


Designing Control Systems

You can use algorithms and apps to systematically analyze, design, and visualize the behavior of complex systems in time and frequency domains.

Automatically tune compensator parameters using interactive techniques such as bode loop shaping and the root locus method. You can tune gain-scheduled controllers and specify multiple tuning objectives, such as reference tracking, disturbance rejection, and stability margins.  

Code generation and requirements traceability helps you validate your system and certify compliance.


Communicating with Other Platforms and Targets

Communicate with embedded targets using several protocols including CAN, EtherCAT, and 802.11. Use digital, RF, and other wireless technologies to connect to hardware that supports TCP/IP, UDP, I2C, SPI, MODBUS, and Bluetooth serial protocols.


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“With MATLAB and Simulink we can use a single environment for control algorithm development, debugging, data analysis, and more—instead of switching between multiple tools. That integration reduces overall project development time and the chances of introducing errors.”

Dr. John Wen, Rensselaer Polytechnic Institute

Learn How You Can Use MATLAB with Robotics Hardware

Get Up and Running with MathWorks Consulting Services

Whether your team is just starting out, or you’re seasoned MATLAB and Simulink users, MathWorks Consulting Services works with you to develop a customized plan and accelerate project development. With personalized coaching and a fully transparent approach, our goal is to leave you in control of your improved processes, tools, and design work. 

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