Developing Autonomous Systems Seminar Series

Join us for a four-part seminar series designed for engineers developing autonomous aerial, ground and marine systems. Each session explores how MATLAB and Simulink help engineers develop and integrate the key components of any autonomous system—perception, planning, and control. Learn how to design, simulate, and deploy algorithms for sensor fusion, path planning, controllers, and more. Through real-world examples like drones and offroad vehicles, you'll gain practical insights into building robust autonomy stacks. Ideal for aerospace and robotics engineers, this series equips you with the tools and workflows to accelerate development and reduce risk in autonomous system design.

Highlights

• Expert-led sessions: Gain insights from experienced engineers with deep expertise in robotics, autonomy, and embedded systems.
• End-to-end autonomy development: Learn how to design, simulate, and deploy perception, planning, and control algorithms using MATLAB and Simulink.
• Real-world applications: Explore case studies featuring autonomous drones and offroad vehicles navigating complex environments.
• Model-Based Design workflows: See how to accelerate development with integrated tools for system modeling, simulation, and automatic code generation.
• Cross-domain relevance: Applicable to aerial, ground, and marine autonomous systems—ideal for UxV engineers and researchers.

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.