Bridging ROS 2 with Simulink for Model-Based Design
Overview
ROS has become increasingly popular in industry, especially in the development of autonomous systems. With the advent of ROS 2, designed to address the limitations of its predecessor, ROS, and cater to production-level workflows, the transition highlighted a critical gap in the open-source ecosystem. Despite its advancements, ROS 2 alone has not fully met the industry’s evolving needs for a streamlined, efficient, and safety-compliant development process.
The MathWorks ROS Toolbox emerges as a pivotal solution to bridge ROS 2 with the Model-Based Design environment of Simulink. This integration enables ROS users to harness the comprehensive functionalities, facilitating a seamless workflow from Model-Based Design to automatic code generation. Such an approach ensures ROS-enabled systems meet the stringent requirements of functional safety standards.
Join us to discover the power of Model-Based Design with ROS 2, the advantages of automated code generation, and how to elevate the safety and reliability of autonomous systems.
Highlights
- Learn about the capabilities of ROS Data and ROS 2 network analyzer tools, which offer powerful solutions for visualizing live ROS data streams, analyzing ROS bag files, and monitoring the health and performance of ROS networks.
- Learn how to leverage Model-Based Design in Simulink for developing ROS-enabled systems.
- Explore how to utilize automatic code generation to efficiently deploy algorithms to ROS networks.
- Learn the process of designing and deploying an autonomous algorithm with safety logic on hardware running ROS 2.
Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can’t make it for the live broadcast, register and we will send you a link to watch it on-demand.
About the Presenters
YJ Lim
YJ Lim is a Principal Technical Product Manager at MathWorks, specializing in robotics and autonomous systems with over 20 years of experience. Previously, he was a Sr. Project Manager at Vecna Robotics, focusing on advanced robotics development. Before Vecna, Lim was the Chief Innovation Officer at Hstar Technologies, working on mobile and healthcare robotics. He also led teams at Energid Technologies in robotic engineering services. Lim earned his Ph.D. in mechanical engineering from Rensselaer Polytechnic Institute (RPI) and a Master’s from the Korea Advanced Institute of Science & Technology (KAIST). yjlim@mathworks.com
Martin Luo
Martin Luo is an application engineer at MathWorks, based in Sweden, where he focuses on autonomous systems and model-based design. Prior to joining MathWorks, Martin worked as a flight control engineer for the civil aircraft and developed navigation system for the drones. Martin holds a Master’s in Robotics from KTH Royal Institute of Technology, and a Master’s in Guidance, Navigation and Control from Beijing University of Aeronautics and Astronautics. mluo@mathworks.com
Product Focus
Organizer
As an authorised reseller of MathWorks in the Middle East, CES is helping companies unleash the value of digital transformation through advanced technology that harnesses the benefits of artificial intelligence, deep learning, machine learning, predictive maintenance and much more. Our teams can help you exploit the power of MATLAB® & SIMULINK® to quickly put your data to work or improve your workflow.
Math. Graphics. Programming. Whether you are analysing data, developing algorithms or creating models, MATLAB® and SIMULINK® are designed for the way you think and the work you do. At CES, our activities expand to encompass a full range of services offered to a broadly based scientific and engineering community throughout the Middle East. Indeed, the majority of our customers today are located in Bahrain, Iraq, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia and the United Arab Emirates and include some of the biggest players in the region and on the planet.
