Developing Autonomous Systems with MATLAB and Simulink

Overview

Autonomous systems are becoming prevalent in a variety of applications across industries, from Unmanned Aerial Vehicles (UAV) for inspection and surveying to Unmanned Ground Vehicles (UGV) for transporting material. These autonomous systems require the capabilities of self-awareness and situational-awareness while understanding how to operate within a given environment.  Developing autonomous systems requires multi-disciplinary skillsets covering various technology domains (controls, perception, motion planning) and simulation to reduce risk/cost/rework before hardware test.
In this upcoming seminar, we will introduce development workflows for modeling and simulation autonomous vehicles, designing autonomous algorithms, virtual testing of the systems, and deploying to hardware.  Please join MathWorks at this upcoming seminar to learn how MATLAB® and Simulink® can help in developing autonomous systems.

Highlights

  • Overview of autonomous systems development
  • Modelling and simulating autonomous robotics systems
  • Sensor fusion for situational awareness
  • Localization and planning algorithm design
  • Virtually testing and deploying robotics applications

About the Presenter

Fred Noto is a Robotics and Autonomous Systems Industry Manager at MathWorks Japan where he works with customers to realize solutions for complex and advanced robotics systems development.  Fred joined MathWorks in 2012 as an application engineer for control systems design, where he interacted with a wide range of customers to assist with adoption of model-based design, as well as ensure rigorous verification and validation needs were met.  He transitioned to his current role in 2018, and works with robotics customers to ensure their needs are met by MathWorks solutions.  Prior to joining MathWorks, Fred worked at Northrop Grumman in Los Angeles, and as a Guidance, Navigation & Controls Engineer, he gained experience working on autonomous algorithms and controls systems for ground and aerial autonomous systems.  Fred holds a bachelor’s degree from the University of California, Los Angeles, and a master’s degree from the University of Southern California, both in Aerospace Engineering.

Recorded: 17 Feb 2021

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Developing Autonomous Systems with MATLAB and Simulink

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