MATLAB & Simulink

ROBOTICS

Designing Robotics Algorithms in MATLAB
Hands-on Course with Practical Exercises

Course Highlights

This one-day course is for engineers designing mobile robotics algorithms for Robot Operating System (ROS) enabled simulators and robots.

Topics include:

• Listing the design workflows possible with Robotics System Toolbox™

• Communicating with ROS and Gazebo

• Building and testing mobile robotics algorithms

• Designing algorithms for execution and data sharing

Who Should Attend

This hands-on course is designed for engineers designing mobile robotics algorithms for Robot Operating System (ROS) enabled simulators and robots.

Prerequisites

Attended "Comprehensive MATLAB" or having working experience with MATLAB and basic knowledge of Robot Operating System (ROS).

Course Outline

Day 1 of 1

Connecting to Robot Operating System (ROS)

Objective: Exchange data between MATLAB and ROS environments.

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• Starting and shutting down ROS

• Subscribing to topics

• Publishing messages to topics

• Requesting and providing services

Building Closed-Loop Algorithms

Objective: Design a simple motion planning algorithm in MATLAB using data from ROS.

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• Creating a waypoint following algorithm

• Testing algorithms in MATLAB

• Testing algorithms in ROS enabled robots and simulators

Design Considerations

Objective: Explore different methods to control the execution and data transfer of algorithms.

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• Creating event-based algorithms

• Executing algorithms at a fixed rate

• Sharing data

Incorporating Built-In Algorithms

Objective: Use mobile robotics algorithms included with Robotics System Toolbox.

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• Building an occupancy grid

• Creating a probabilistic roadmap

• Tracking a path with the pure pursuit algorithm