In my last post (Collaborative Optimization on the Cody Frontier), I showed how four people, ostensibly competitors in a Cody competition, came to collaborate on a tricky problem. The storyline there was that Cody rewards you for writing the shortest possible code. All improvements are welcome, whether you're making a big algorithmic breakthrough or shaving a single character with a minor syntactic tweak. One of the four competitors, Wang Zi-Xiang, even published an article about how to reduce the size of a Cody solution. He noted that some of the techniques are always valuable, while others, though they serve you well in Cody, are not appropriate for working code. Code "golf"...

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I have been supporting users of Simulink and Simscape for many years. During this time, I built up in my head a list of best practices that I systematically go through when I receive new Simscape models from colleagues and customers.

I have been supporting users of Simulink and Simscape for many years. During this time, I built up in my head a list of best practices that I systematically go through when I receive new Simscape models from colleagues and customers.

When we launched Digital Engineering De-coded, our goal was simple: move beyond buzzwords and share practical patterns that help engineering teams solve real problems. This four-part series follows VIPR-GS researchers Tanmay Samak and Chinmay Samak as they reflect on their work developing and validating autonomous ground vehicle systems in collaboration with the U.S. Army DEVCOM Ground Vehicle Systems Center. Their experience illustrates a challenge familiar to many engineering teams: individual digital artifacts may exist, but connecting them into a coherent engineering workflow is far more difficult. Across the series, we explore how their approach evolved from ad hoc simulation and analysis toward a more systematic workflow built around systems

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When we launched Digital Engineering De-coded, our goal was simple: move beyond buzzwords and share practical patterns that help engineering teams solve real problems. This four-part series follows VIPR-GS researchers Tanmay Samak and Chinmay Samak as they reflect on their work developing and validating autonomous ground vehicle systems in collaboration with the U.S. Army DEVCOM Ground Vehicle Systems Center. Their experience illustrates a challenge familiar to many engineering teams: individual digital artifacts may exist, but connecting them into a coherent engineering workflow is far more difficult. Across the series, we explore how their approach evolved from ad hoc simulation and analysis toward a more systematic workflow built around systems

...

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UOS Robotics from the University of Seoul returned to the RoboCup ARM Challenge in 2026 after winning titles in 2022 and 2023. With RoboCup 2026 held in Incheon, South Korea, the team took first place in the global simulation round and went on to win the on-site final on home soil. Today's blog highlights the engineering work behind this success: bringing perception, planning, and control algorithms from a virtual environment to a real Universal Robot.

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UOS Robotics from the University of Seoul returned to the RoboCup ARM Challenge in 2026 after winning titles in 2022 and 2023. With RoboCup 2026 held in Incheon, South Korea, the team took first place in the global simulation round and went on to win the on-site final on home soil. Today's blog highlights the engineering work behind this success: bringing perception, planning, and control algorithms from a virtual environment to a real Universal Robot.

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As part of last week's MATLAB Expo in the UK, MathWorker James Drummond was given the task of creating the table centrepieces.

They were modeled in Blender with the help of Codex (GPT-6

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As part of last week's MATLAB Expo in the UK, MathWorker James Drummond was given the task of creating the table centrepieces.

They were modeled in Blender with the help of Codex (GPT-6

...

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Mike's pick this week is cprintf by Yair Altman.

I recently took a

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Mike's pick this week is cprintf by Yair Altman.

I recently took a

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Guest writer: Pat Canny Pat Canny is a Principal Technologist at MathWorks specializing in safety-critical systems development, Model-Based Design, and digital engineering workflows for aerospace and defense.

Authoring test cases is a tedious process. Authoring good, requirements-based, systematic test cases is… well it’s not always fun. When I created test cases to test my colleague’s designs in Simulink, the day-to-day requirements work often looked something like this:

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Guest writer: Pat Canny Pat Canny is a Principal Technologist at MathWorks specializing in safety-critical systems development, Model-Based Design, and digital engineering workflows for aerospace and defense.

Authoring test cases is a tedious process. Authoring good, requirements-based, systematic test cases is… well it’s not always fun. When I created test cases to test my colleague’s designs in Simulink, the day-to-day requirements work often looked something like this:

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]]>Mon, 12 Oct 2026 00:00:00 +0000

Power and control systems are often designed around the moments when the system is pushed to its limits. "Every system that was ever designed, ever built, ever made, was sized for the worst microsecond of operation, not the average second," says Martin MacDonald, COO and co-founder of weeteq. "Those peaks and droops are really what dictate the size of systems." For weeteq, a Glasgow-based semiconductor startup, that assumption represents an opportunity to rethink how power and control systems are designed. Instead of designing around worst-case conditions, the company's Ultra Edge® technology uses machine learning to predict transient behavior and respond in real time (sub-millisecond). The idea has applications across industries that depend on efficient power and control systems, from motor drives and industrial automation to automotive systems and AI data centers. By anticipating electrical transients before they occur,...

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Power and control systems are often designed around the moments when the system is pushed to its limits. "Every system that was ever designed, ever built, ever made, was sized for the worst microsecond of operation, not the average second," says Martin MacDonald, COO and co-founder of weeteq. "Those peaks and droops are really what dictate the size of systems." For weeteq, a Glasgow-based semiconductor startup, that assumption represents an opportunity to rethink how power and control systems are designed. Instead of designing around worst-case conditions, the company's Ultra Edge® technology uses machine learning to predict transient behavior and respond in real time (sub-millisecond). The idea has applications across industries that depend on efficient power and control systems, from motor drives and industrial automation to automotive systems and AI data centers. By anticipating electrical transients before they occur,...

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]]>Mon, 12 Oct 2026 00:00:00 +0000

When using MATLAB, I have always been most at home in the command window. I'm kind of old-school that way which is why the release of MATLAB's Terminal made me so excited. Give me the command window, with the editor alongside it, and I shall move the world!

As such, I was very happy

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When using MATLAB, I have always been most at home in the command window. I'm kind of old-school that way which is why the release of MATLAB's Terminal made me so excited. Give me the command window, with the editor alongside it, and I shall move the world!

As such, I was very happy

...

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]]> Wed, 07 Oct 2026 00:00:00 +0000

Tens of thousands of satellites are expected in orbit by the end of the decade, and most of them still wait for engineers on the ground to make every decision. Operators typically add people as they add spacecraft, a model that becomes harder to sustain as fleets grow and missions become more complex. Some satellite operators may have only eight minutes of communication with a spacecraft every 45 to 90 minutes. During the remaining time, the spacecraft must continue its mission and respond to unexpected conditions on its own. The need for autonomy will grow as space missions take on work such as inspection, refueling, maintenance, and delivery. Communication links may be jammed or unavailable, GPS may not work, and engineers cannot retrieve a spacecraft to adjust its guidance, navigation, and control (GNC) system after launch. CUS-GNC is addressing both challenges with SpacePilot, reusable onboard software that combines...

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