Developing Autonomous Systems: The Full Workflow
Overview
Join us for our final seminar in the series, where we bring together the elements covered in detail during our first 3 sessions to simulate an end-to-end autonomous system.
This session showcases Model-Based Design workflows and simulation tools that help engineers build, test, and deploy autonomy algorithms efficiently, showcasing an off-road autonomous vehicle as an application example.
Whether you're working on ground, aerial, or marine systems, this session offers practical insights into building robust autonomy stacks with confidence.
Highlights
- Generate terrain-aware maps and plan safe offroad routes
- Model dynamic electromechanical systems
- Develop and test perception, planning, and control algorithms
- Integrate components into system-level simulations
- Deploy to hardware using automatic code generation
Who Should Attend
Engineers and researchers working on autonomous systems or components, for example: roboticists, perception engineers, controls engineers, embedded software engineers, flight software engineers, systems engineers.
About the Presenter
Julia Brault received a B.S. and M.S. from Northeastern University in Mechanical Engineering, with a concentration in mechanical design and mechatronic systems. She is a Senior Application Engineer focusing on robotics and automated systems who joined MathWorks 8 years ago in 2017.
Product Focus
This event is part of a series of related topics. View the full list of events in this series.
