This video introduces Autonomous Navigation—the capability that enables autonomous systems to move safely and intelligently within their environment.
We explore the four essential stages of navigation:
- Sense & Perceive: How sensor fusion combines data from multiple sources to achieve situational awareness and self-positioning.
- Plan: Examples of global and local path-planning algorithms used to generate safe and efficient trajectories.
- Control: Techniques for accurately executing planned paths through simulation and control strategies.
The video features simulation demonstrations, practical localisation and planning examples, and a discussion on deploying algorithms to hardware for real-world use. Throughout, we use MATLAB and Simulink to model, simulate, and validate the workflows.
ABOUT THE PRESENTER
Andreas Andersson is a Senior Technical Consultant at MathWorks, specializing in Model-Based Design and the development of safety-critical systems. In his role, he collaborates with customers to deliver guidance, coaching, and best practices for building robust, compliant solutions. Prior to joining MathWorks in 2022, Andreas spent 17 years at Volvo Cars, serving as a Principal Engineer focused on virtual testing and embedded software development. He holds a Master of Science in Electrical Engineering from Chalmers University of Technology, Sweden. Andreas is currently based in Abu Dhabi, UAE.
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