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 EXPODeutschland

Immerse 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 AG

Seize 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 EXPODeutschland

hashtag#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.