Developing Autonomous Systems: Planning Algorithms
Overview
Whether your robot flies, drives, swims, or manipulates, planning and decision-making algorithms are essential for any autonomous system. In this seminar, you will learn how to design, implement, and test a variety of these algorithms – all using MATLAB and Simulink.
Highlights
- Environment-based global path planning
- Local path planning and path optimization
- Implementing decision-making and task-scheduling algorithms with state machines
- Validation and deployment of planning and decision-making algorithms
Who Should Attend
Engineers and researchers working on autonomous systems or components, for example: roboticists, controls engineers, embedded 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.
