MATLAB Unboxed: A Journey with Marco

importance of signal labeling for radar systems, particularly in the context of

artificial intelligence and machine learning. Discover how MATLAB’s Signal

Labeler simplifies the process of organizing radar data, enabling more accurate

AI model training. Whether labeling manually or through automated functions,

this episode will guide you through the key steps and highlight why signal

labeling is critical for reliable radar applications. Visit the MathWorks

website for more insights and examples.

In

this episode of MATLAB Unboxed, Marco Roggero explores the fascinating

world of Micro-Doppler effects in radar systems. Discover how subtle movements,

such as a person walking or a helicopter’s rotating blades, can generate rich

radar signatures. Marco dives into real-world applications, including

pedestrian and bicyclist classification using deep learning, and explains how

MATLAB helps model, simulate, and analyze these effects. Learn how these

powerful tools can be applied in areas like autonomous driving, surveillance,

and beyond.

Marco Roggero explores the challenges of radar sea clutter and the importance

of modeling and removing it for maritime radar systems. He discusses how MATLAB

can simulate different sea states and clutter conditions, and highlights the

use of deep learning to suppress clutter and improve target detection. With

practical examples, Marco demonstrates how these tools enhance radar

performance in real-world maritime environments. Tune in to learn more about

radar signal processing and the cutting-edge techniques available through

MATLAB.

Roggero explores how Artificial Intelligence is revolutionizing radar systems.

Learn about the key challenges faced by traditional radar technologies and

discover how AI helps overcome issues like clutter, object classification, and

performance optimization. Marco also highlights how MATLAB and Simulink provide

essential tools for simulating radar signals, building AI models, and applying

machine and deep learning techniques to radar data. Tune in to gain insights

into the future of radar technology and how AI is playing a crucial role in its

evolution.

Marco Roggero explores the development of an autonomous pediatric exoskeleton designed to help children with mobility impairments walk. Discover how

engineers used MATLAB and Simulink to accelerate the design and testing process, and learn about the transformative potential of this technology in

physical therapy. Visit mathworks.com for more details, images, and videos.

In this episode, Marco Roggero and John explore Continuous Integration (CI). They discuss what CI is, why it’s crucial for modern software development, and how MATLAB and Simulink can streamline CI processes. Learn how CI helps detect issues early, automate testing, and improve collaboration for more efficient and reliable software development. Whether you're working in automotive, aerospace, or any other industry, discover how MATLAB and Simulink can enhance your CI workflows.

In this episode of MATLAB Unboxed, host Marco Roggero delves into the world of automated visual inspection systems. Discover what visual inspection is, why it's crucial across various industries, and how MATLAB and Simulink can streamline the development process. With insights into data preparation, AI modeling, and deployment, Marco explains how engineers can leverage MATLAB's powerful tools to build robust, efficient visual inspection systems. Whether you're new to visual inspection or looking to enhance your existing workflows, this episode offers valuable guidance and real-world examples to help you succeed.

In this episode of MATLAB Unboxed, we explore the world of Embedded Vision. Learn what Embedded Vision is, discover its real-world applications, and find out how MATLAB and Simulink can help you develop and deploy powerful vision algorithms on embedded hardware. Whether you're working in automated driving, robotics, medical imaging or other applications, this episode provides insights and tools to take your projects to the next level.

please find here more information and examples:https://www.mathworks.com/solutions/image-video-processing/embedded-vision.html

Dive into episode 6 of MATLAB Unboxed as Marco Roggero takes you through the heart of Embedded World 2024, happening from 9th to 11th April in Nuremberg, Germany. Discover the latest in embedded systems innovation with MathWorks at the forefront, showcasing MATLAB and Simulink's newest features. Explore live demonstrations, interactive sessions, and expert insights on the future of technology. Whether you’re deep in the field or just starting out, this episode is your guide to one of the tech industry's key events. Join us to unlock the potential of embedded systems with MathWorks at Embedded World 2024.

"Autonomous Mobile Robots" is an engaging episode from the "MATLAB Unboxed" podcast series, where host Marco Roggero, alongside robotics expert John, delves into the world of Autonomous Mobile Robots (AMRs). They explore the role of MATLAB and Simulink in advancing AMR technology, covering perception, navigation, and decision-making. This conversation offers insights into the challenges and innovations shaping the future of robotics, making it a must-listen for anyone interested in the intersection of technology and automation.