MATLAB Unboxed: A Journey with Marco

This episode of "MATLAB unboxed," explores the transition of the Unmanned Aerial Vehicle (UAV) industry from experimental prototyping to mission-critical maturity.While open-source standards have provided a strong foundation for growth, modern UAV missions—involving high-speed transport, heavy payloads, and autonomous navigation—present complex engineering hurdles that require a more rigorous approach. Marco discusses seven key challenges facing developers today, including energy management, sensor fusion, and aerospace certification (DO-178C/DO-254).Discover how Model-Based Design and MathWorks solutions like the UAV Toolbox and Simscape enable engineers to overcome these complications through high-fidelity simulation and formal verification, ensuring stability, safety, and the protection of intellectual property in a rapidly evolving landscape.

Exciting developments await at the MATLABExpo Germany, where the future of AI in engineering takes center stage!📅 Date:October 21, 2025📍Location: The Westin Grand Hotel, Munich🔗Register here: MATLAB EXPODeutschlandImmerse yourself in the AI in Industry Track, featuring industry leaders andexperts unveiling how AI drives innovation and tackles intricate challenges.Here's a sneak peek at the insightful talks lined up:- Keynote: Embedded Intelligence: The Future of AI in Engineering Design byRichard Rovner, MathWorks- Keynote: AI and Machine Learning at the Intelligent Edge by Daniel Weyl, NXPSemiconductors Germany GmbH- Developing Next-Generation MRI Reconstruction Techniques in MATLAB by FlorianWiesinger, PhD, GE HealthCare- AI-Powered BMS and Cloud Intelligence: Advancing Algorithm Development withFEV’s GenAI Hub and MATLAB and Simulink by Giovanni Vagnoni, FEV- Electrocardiography in 3D Vector Space: MATLAB Analysis as a CertifiedMedical Device by Thomas Fechner, Cardisio GmbH- Verifikation, Validierung und Zertifizierung von KI-Modellen by ChristophStockhammer, MathWorks- Implementing a CI/CD Pipeline for an AI-Based Controller Using MATLAB andSimulink by Ilona Krause, Krones AG- Wie lässt sich die Güte von AI basierten Steuerungen für Spannungwandlersystematisch ermitteln? by Dr. Benjamin Schwabe, Infineon Technologies AGSeize this exclusive chance to glean insights, forge connections, and witnesshow MATLAB and Simulink spearhead AI innovation across diverse sectors. Don'tmiss out on this enriching event – reserve your spot now!🔗Register here: MATLAB EXPODeutschlandhashtag#MATLABhashtag#MATLABExpohashtag#AIhashtag#ArtificialIntelligencehashtag#MachineLearninghashtag#DeepLearninghashtag#Engineeringhashtag#Innovationhashtag#Munichhashtag#Germanyhashtag#TechEventhashtag#MathWorkshashtag#NXPhashtag#GEHealthCarehashtag#FEVhashtag#Cardisiohashtag#Kroneshashtag#Infineon

In today’s episode, we’re diving into Visual SLAM — that’s Simultaneous Localization and Mapping — using an RGB-D camera in MATLAB.

In this episode, we’re walking through the process of depth estimation from stereo video using MATLAB and the Computer Vision Toolbox.

Join me, Marco Roggero, in this episode of MATLABUnboxed: Yolox for Embedded Vision, where we explore how YOLOX networks arerevolutionizing industrial embedded vision. I’ll walk you throughhigh-precision PCB defect detection, innovative techniques for small objectrecognition, and the streamlined deployment of these models using MATLAB’sunified workflow. Plus, get an exclusive preview of my upcoming presentation atthe Embedded World Conference in Nürnberg on March 12th, 2025.

In this episode of "MATLABUnboxed," host Marco Roggero delves into the world of Unmanned AerialVehicles (UAVs). He explains what UAVs are, their significance across variousindustries, and how MATLAB and Simulink are essential tools for theirdevelopment and electrification. Marco discusses the capabilities of thesetools in UAV platform development, perception and localization, motion planningand control, and simulation-based testing. Join Marco as he explores thecutting-edge technology behind UAVs and the role of MATLAB and Simulink inadvancing autonomous flight applications.

🎅 Hello everyone, and welcome to Day 24, the final day of my MATLAB and Simulink Advent Calendar! 🎅 My name is Claus… Santa Claus! Tomorrow is Christmas and I'm excited to share with you the Simulink OnRamp, where you can learn the basics of creating, editing, and simulating models in Simulink. With the Simulink OnRamp, you can:Use block diagrams to represent real-world systemsSimulate components and algorithms to understand system behaviorFollow the link to explore this fantastic opportunity to learn the essentials of Simulink. https://lnkd.in/exxibES9 Let's continue to spread the joy of learning and innovation as we approach the holiday season! 🎁 hashtag#MATLAB hashtag#Simulink hashtag#mathworks hashtag#SantaClaus hashtag#Christmas Wishing you all a day filled with excitement and festive cheer! Celebrate this Christmas doing whatever you feel is good for you. Please do it! Santa Claus is asking you to do that! 🎄

🎁 Hello everyone, and welcome to Day 23 of my MATLAB and Simulink Advent Calendar! 🎅 Today, we're delving into the fascinating world of "AI for Engineers: Building an AI System." Follow this lick to watch the video: https://lnkd.in/eVfhhfMY Artificial intelligence, as many of you may know, is a simulation of intelligent human behavior. It's designed to perceive its environment, make decisions, and take action. Today, we'll get an overview of AI for engineers and discover the ways in which artificial intelligence fits into an engineering workflow. We'll explore the essential steps for building an AI system, including data preparation, modeling, system design, and deployment. It's an exciting journey that allows engineers to leverage the power of AI to make informed decisions and automate complex processes. Join me as we uncover the incredible potential of AI in engineering. Let's continue to spread the joy of learning and innovation this holiday season! hashtag#AI hashtag#MATLAB hashtag#Simulink hashtag#mathworks hashtag#Christmas Wishing you all a day filled with inspiration and festive cheer!

🌟 Hello everyone, and welcome to Day 22 of my MATLAB and Simulink Advent Calendar! 🎄 Today, I'm excited to share the incredible capabilities of the UAV Toolbox, which equips you with tools and reference applications for designing, simulating, testing, and deploying unmanned aerial vehicle (UAV) and drone applications. With the UAV Toolbox, you can: Design autonomous flight algorithms, UAV missions, and flight controllersUtilize the Flight Log Analyzer app to interactively analyze 3D flight paths, telemetry information, and sensor readings from common flight log formatsFollow the link to explore the powerful tools and resources available for UAV and drone applications with MATLAB and Simulink. https://lnkd.in/eZnHer3u Let's continue to spread the joy of innovation and learning this holiday season! hashtag#MATLAB hashtag#Simulink hashtag#UAV hashtag#AdventCalendar hashtag#Christmas hashtag#mathworks Wishing you all a day filled with inspiration and festive cheer!

Hey, what's up? Welcome to Day 21 of my Advent Calendar!   As we eagerly await Christmas, I'm excited to share something special with you every day related to MATLAB and Simulink   Ever heard of a Kalman filter? It's an incredible algorithm that helps autonomous systems like self-driving cars and drones navigate with ease and accuracy.  By using mathematical calculations, it estimates a system's state and predicts its future movements, filtering out unreliable sensor data for informed decisions.  The best part? Implementing a Kalman filter in MATLAB is a breeze! With the Sensor Fusion and Tracking Toolbox, you can easily set up a Kalman filter for your own autonomous system.  Check out this example for Kalman filter of sensor fusion and see for yourself how simple and powerful this tool can be.   Let's continue spreading the joy of learning and innovation this holiday season!   Wishing you all a day filled with inspiration and festive cheer!