Advertise on podcast: 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!

🎄 Welcome to Day 20 of the MATLAB Advent Calendar! 🎅 As we eagerly await Christmas, I'm excited to highlight a fascinating application of MATLAB and Simulink—the modeling and control of Mars Rovers. 🚀 These robotic explorers are pivotal in advancing our understanding of the Red Planet, paving the way for future human exploration. 🌟 MathWorks provides comprehensive tools to simulate Mars Rover operations, enabling engineers to design and test rover models in realistic Martian terrains. 🛠️ By utilizing Simscape Multibody and Robotics System Toolbox, you can create a digital twin of a Mars Rover to perform tasks such as sample retrieval. This involves path planning, navigation over uneven surfaces, and manipulator control for sample collection. 🪐 🎁 Key features include: 🎄 Grid Surface Modeling: Simulate the rigid Martian terrain to test rover mobility. 🎅 Point Cloud and Spatial Contact Forces: Model interactions between rover wheels and the terrain for accurate mobility analysis. 🌟 Pure Pursuit Path Tracking: Implement algorithms for precise navigation along a desired path. 🎁 Kinematics Solver and Trajectory Planning: Plan and control the rover's manipulator for tasks like sample collection. Understanding and simulating these aspects are crucial for mission success, as they ensure the rover can navigate the challenging Martian environment and perform scientific tasks effectively. 🚀 🎀 For a hands-on example, explore the Mars Rover Model available on MATLAB Central File Exchange. This model demonstrates how to navigate uneven terrain, retrieve samples, and utilize inverse kinematic analysis for arm control. https://www.mathworks.com/help/sm/ug/mars_rover.html 🎇 Why is this topic important? Mars Rovers are at the forefront of space exploration, providing invaluable data about Mars's geology and potential for life. Simulating their operations with MATLAB and Simulink accelerates development, reduces risks, and enhances mission success, bringing us closer to unraveling the mysteries of Mars. 🌠 Stay tuned as we continue to unwrap more exciting features and applications of MATLAB and Simulink this holiday season. 🎅 Happy holidays! 🎄 #MathWorks #MATLAB #Simulink #christmas #advent #MarsRover #SpaceExploration #Robotics #DigitalTwin #Simscape #RoboticsSystemToolbox 🎁

🎄 Welcome to Day 19 of the MATLAB Advent Calendar! 🎅 As we approach Christmas, I’m excited to showcase another innovative application of MATLAB and Simulink—Autonomous Surface Vessels (ASVs). These vessels are revolutionizing industries such as maritime transport, environmental monitoring, and offshore operations. Today, let’s explore how MATLAB and Simulink empower engineers to design, simulate, and test these sophisticated systems. ASVs face unique challenges, from navigating through high-traffic areas to integrating multiple functional components seamlessly. To address these, MathWorks offers a robust platform for developing a digital twin—an integrated environment combining the ASV model, autonomy systems, and operational scenarios. This digital twin enables efficient testing and validation long before deployment. 🌟 Key components include the vessel platform with sensors like cameras, LiDAR, IMU, and GPS, as well as propulsion systems modeled using Simulink and Simscape. These tools allow engineers to simulate dynamics such as hydrodynamics, cross-flows, and payload effects with high fidelity. 🎁 🎇 Guidance, navigation, and control are further supported by features like sensor fusion algorithms, automated parameter tuning, and behavior planning using Stateflow. These capabilities ensure the ASV can navigate safely while adhering to maritime rules, such as COLREGs. But that’s not all. The Cuboid simulation environment and integration with platforms like Unity and Unreal Engine offer rich, interactive scenarios for testing collision avoidance, risk assessment, and situational awareness. From simulating urban waterways to detecting objects using deep learning, these tools streamline the development of ASVs, ensuring they operate safely and efficiently in complex environments. 🎅 🎁 Why is this topic important? Autonomous Surface Vessels are transforming maritime industries by increasing safety, reducing human risk, and improving operational efficiency. They’re a vital step toward sustainable and intelligent ocean operations. 🎀 Explore more about ASV design and simulation on MATLAB Central, including contributions like Professor Thor Fossen’s Marine System Simulator. For deeper insights, don’t miss our upcoming ASV webinar on June 30th! 🎄 https://www.mathworks.com/help/sm/ug/mars_rover.html Let’s continue unwrapping the potential of MATLAB and Simulink this holiday season. Happy holidays! ❄️ #MathWorks #MATLAB #Simulink #christmas #advent #ASV #AutonomousVessels #DigitalTwin #SensorFusion #MaritimeInnovation

🎄 Welcome back to the Advent Calendar! As we count down to Christmas, today’s highlight is all about working at MathWorks—the company behind MATLAB and Simulink. At MathWorks, we accelerate the pace of engineering and science, empowering innovators worldwide to tackle the world’s toughest challenges. From enabling spacecraft landings on the moon 🌕 to advancing clean energy solutions, climate change research 🌍, and medical breakthroughs, MathWorks employees contribute to impactful projects across industries. 🎁 But working at MathWorks is more than solving technical problems—it’s about being part of a vibrant, collaborative community. Whether you’re a software engineer, a customer-facing application engineer, or part of our sales, marketing, or operations teams, every role has a purpose. MathWorks encourages continuous growth, learning, and innovation, fostering an environment where creativity meets real-world impact. ✨ This topic is important because MathWorks is more than a workplace—it’s a mission-driven company where people turn ideas into solutions that make a difference for engineers, researchers, educators, and scientists around the globe. And at the heart of it all is a culture that values diversity, work-life balance, and professional development. 🎅 If you’re curious about opportunities to grow and make a meaningful impact at MathWorks, explore more here: https://www.mathworks.com/company/jobs/resources/what-we-do.html 🎄 Stay tuned for tomorrow’s highlight as we continue unwrapping the power of MATLAB and Simulink. Happy holidays! 🎉 #MathWorks #MATLAB #christmas #advent #simulink #Innovation #EngineeringCareers #STEM #WorkAtMathWorks #CareerGrowth #MissionDriven #CultureOfInnovation 🎄✨

🎄 Welcome to Day 17 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. 🎁 Today's surprise is all about signal analysis made easy with the Signal Analyzer app! Discover how you can effortlessly execute signal analysis tasks in MATLAB using the Signal Analyzer app. With this tool, you can: ✨ Import and visualize signal data ✨ Preprocess and filter signals to enhance quality ✨ Visualize signals in both time and frequency domains ✨ Analyze and measure trends, peaks, and other characteristic features 🔧 The best part? All of this can be done without writing a single line of code! Curious to learn more? Visit Signal Processing Toolbox for detailed information: https://www.mathworks.com/products/signal.html Stay tuned for more exciting insights as we count down to Christmas! 🎄

🎄 Welcome to another exciting day of our Advent Calendar! As we continue our countdown to Christmas, I'm thrilled to share a fascinating story about the engineering marvels behind next-generation Olympic track bicycles. Bridgestone, in collaboration with MathWorks, is at the forefront of designing high-performance bicycles that redefine speed and efficiency for elite athletes. 🎁 Utilizing MATLAB and Simulink, Bridgestone's engineers have transformed the bicycle design process. These powerful tools allow for comprehensive simulation and modeling, enabling the team to test and refine every aspect of the bicycle under realistic conditions. From optimizing aerodynamics to enhancing structural integrity, MATLAB and Simulink help ensure that each bicycle is not only fast but also perfectly tailored to the needs of Olympic athletes. ✨ The collaboration with MathWorks has empowered Bridgestone to push the boundaries of engineering and innovation. By simulating various environmental factors and performance scenarios, the team can make data-driven decisions that lead to superior bicycle designs. This meticulous attention to detail ensures that every cyclist can achieve optimal performance on the track. 🎅 Stay tuned as we continue to unwrap more inspiring stories and cutting-edge projects powered by MATLAB and Simulink in the days leading up to Christmas. Wishing everyone a joyful holiday season! For more insights, visit: https://www.mathworks.com/company/mathworks-stories/bridgestone-designs-next-generation-olympic-track-bicycles.html Hashtags: #MathWorks #MATLAB #Christmas #Advent #Simulink #Bridgestone #Olympics #CyclingInnovation #NextGenBicycles #EngineeringExcellence #PerformanceEngineering