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 robotwith the algorithms you develop。
- Develophardware-agnostic algorithmsand connect to theRobot Operating System -bothROSandROS2。
- Connect to arange of sensors and actuatorsso you can send control signals or analyze many types of data.
- Eliminate hand-coding通过自动生成代码的嵌入式目标ets like microcontrollers, FPGAs, PLCs, and GPUs in many languages such as C/C++, VHDL/Verilog, Structured Text, and CUDA.
- Connect tolow-cost hardware such as Arduino and Raspberry Piusing pre-built hardware support packages.
- Simplify design reviewsby creating shareable code and applications.
- Work with legacy code andintegrate with existing robotics systems。
Featuring: Robotics and Autonomous Systems
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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.
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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.
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.
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Planning and Decision Making
Create a map of the environment using the LiDAR sensor data viaSimultaneous Localization and Mapping (SLAM)。
Navigate constrained environments by designing algorithms forpath and motion planning。使用路径规划计算an obstacle-free path in any given map.
Design algorithms that allow your robot to make decisions when faced with uncertainty andperform safe operation in collaborative environment。Implementstate machinesto define the conditions and actions needed for decision making.
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.
“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
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