MATLAB Central Blogs Feeds | MATLAB Central Blogs - MATLAB & Simulink

Building and Controlling a Gantry Crane with Simulink, Simscape Multibody, and Codex

Thu, 06 Aug 2026 00:00:00 +0000

A few days ago, my colleague Ned Gulley published this blog post: Simulate in MATLAB, Animate in Blender.

The following post is from Sagar Hukkire, Senior Application Engineer at MathWorks, and Visa Suomi, Medical Devices Industry Manager.

Magnetic Resonance Imaging (MRI) reconstruction plays a critical role in transforming raw scanner data (in the frequency domain, known as k-space) into clinically usable images. In the examples shown here, we use low-SNR input k-space data from a T1-weighted MRI modality, which makes robust reconstruction

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MATLAB のオブジェクト処理がこれから大きく高速化されます

Wed, 05 Aug 2026 00:00:00 +0000

※この投稿は 2026 年 7 月 14 日に The MATLAB Blog へ投稿されたものの抄訳です。 --

MATLAB R2026b のプレリリースが公開されており、これにはまったく新しいオブジェクト管理システムが含まれています。ただし、これはデフォルトでは有効になっていません。有効にすると、この新しいシステムはオブジェクト指向 MATLAB コードを高速化できることを約束します。しかも、ほとんどの場合コード変更は不要です。場合によってはかなり高速になります。

Responding to SR 26-2: From Strategic Interpretation to Practical Evidence | Part 3 of 4

Tue, 04 Aug 2026 00:00:00 +0000

Under SR 26-2, Misclassification Is the New Model Risk

When materiality determines rigor, classification becomes a first-order governance issue.

Series introduction

The first two blogs in this series examined the strategic and operating-model implications of SR 26-2. Part 1 argued that the guidance places greater responsibility on institutions to defend their risk-based judgments. Part 2 considered where that shift creates operating flexibility, including the treatment of immaterial models, validation frequency, and the definition of a model.

This third blog examines the governance risk created by that flexibility. When materiality determines

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Simulate in MATLAB, Animate in Blender

Fri, 31 Jul 2026 00:00:00 +0000

Here's your challenge. You're controlling a sliding gantry crane that is supporting a heavy swinging load. You need to pilot that load safely over a fragile wall. Can you do it? How? I find this problem interesting because it's so dynamic and nonlinear. I can imagine how I would do it manually if I was driving the crane with a joystick. But I'm not sure how I would attack it as a MATLAB controls problem. In this post I work with a Large Language Model (LLM) to create the scenario, solve the related controls problem, and then animate it using Blender. It was all remarkably straightforward. First I described the plant: gantry crane and pendulum. This is a four-state system where the input is the force driving the crane and the output is the x position of the pendulum bob. The initial challenge was to move the pendulum quickly from one position to another. The LLM chose an LQR (Linear Quadratic Regulator) controller. I was happy with the result shown here. Let's add the...

Responding to SR 26-2: From Strategic Interpretation to Practical Evidence | Part 2 of 4

Thu, 30 Jul 2026 00:00:00 +0000

Where SR 26-2 Creates Flexibility—and Where It Does Not

The opportunity is real, but it is narrower, more conditional, and more defensible-on-paper than a first read suggests.

Series introduction

The first blog in this series argued that SR 26-2 does not simply reduce the model risk management burden. Instead, it places greater responsibility on banking organizations to make, support, and defend risk-based judgments.

This second blog examines where that shift creates operating-model flexibility—and the policy, governance, and control boundaries that remain.

The room is real, but it is bounded

Why Quality Can't Wait: Lessons from Decades of Software Development

Tue, 28 Jul 2026 00:00:00 +0000

Software teams face constant pressure to deliver more features in less time. As software becomes the primary driver of product innovation, engineering organizations must balance development speed, cost, quality, and increasingly complex requirements. The challenge is familiar - how do you move faster without creating technical debt that slows you down later? Damian Packer, Global Overlay Sales Manager for Polyspace at MathWorks, reflects on lessons from a 35-year career that spans software development, sales, and management across startups and large corporations. Through stories from the early days of Simulink and a venture-backed startup, he shares a simple but powerful insight: sacrificing quality to save time often creates the very delays teams are trying to avoid. The Illusion of Moving Fast One of Packer's earliest lessons came while helping develop a major new graphics architecture for MATLAB in the 1990s. The project introduced capabilities that modern users now take...

Using Claude Code and MATLAB to Find a New Way to Estimate Pi

Tue, 28 Jul 2026 00:00:00 +0000

Bio: Today's guest blogger is Charlie Saunders. Charlie is a Senior Research Scientist in the MathWorks Advanced Research and Technology Office.

Recently, I came across a cool result about calculating π via coin flips. You may have seen other physical processes used to calculate π, too,

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Building Janus: How a FIRST Robotics Team Engineered a Championship Robot

Mon, 27 Jul 2026 00:00:00 +0000

For this week’s blog post, we’re featuring FRC Team 2040 from the FIRST Robotics Competition as they reflect on their 2026 season and share how they used Simulink and WPILib to coordinate their robot Janus’s shooter and help the team return to the FIRST World Championship. If you are interested in using MATLAB and Simulink for your team, please visit our 

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From Embodied Reasoning to Reliable Robot Actions with MATLAB

Sat, 25 Jul 2026 00:00:00 +0000

Last year, I wrote about the potential of vision-language-action, or VLA, models for robotics. These models can connect visual observations and natural-language instructions directly to robot actions, combining perception, planning, and action generation in an end-to-end learned system (VLA Blog). That approach remains promising, particularly for adaptable and dexterous robot behavior. But what if a single VLA model can't handle everything? 1 Combining External AI Reasoning with Trusted Robotics Engineering Tools A complementary architecture is emerging: use vision-language model (VLM)-based embodied reasoning models for visual understanding, spatial reasoning, task planning, and task verification, while established robotics tools handle motion planning, control, simulation, and deployment. Embodied AI reasons about what the robot...

Debugging Example: Why are broken links not being detected on this web page?

Fri, 24 Jul 2026 00:00:00 +0000

My MATLAB based system that detects broken links on mathworks.com pages each night is failing to detect them on a specific page. I need to investigate and understand why, to see if there is a systemic problem. Features covered in this code-along style video include: Setting breakpoints and single-stepping ismember [bcvid id="6401835662112"] Play the video in full screen mode for a better viewing...

RoadRunner／MATLAB で作る NVIDIA Cosmos-Transfer2.5 Auto Multiview 向け入力動画 — HDマップからフォトリアルなマルチカメラ映像まで

Thu, 23 Jul 2026 00:00:00 +0000

今回はアプリケーションエンジニアリング部の福地がお送りします。

2026/7/15 セミナー"HDマップ×シミュレーションで実現するPhysical AI学習、検証の最前線 ～Dynamic Map Platform × NVIDIA × MathWorks が描くデータ生成エコシステム～ - MATLAB & Simulink"内の「RoadRunner/MATLABを活用したCosmos Transfer用の入力動画生成とその実行」（MathWorks Japan アプリケーションエンジニアリング部）の内容をブログ記事として再構成したものです。

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MATLAB Kalman Filtering for ThingSpeak Sensor Data!?

Thu, 23 Jul 2026 00:00:00 +0000

I was just reading our doc page on Kalman Filtering in MATLAB. This gave me an idea. Could I apply this to ThingSpeak IoT data? And, if so, why? Turns out we have a weather station at the MathWorks Apple Hill building. This weather station has been producing data for 10 years on ThingSpeak Channel 12397. A Kalman filter is a classic method for estimating the true value of something you can only measure noisily. It keeps a running best estimate and updates it with each new reading, blending what it expected with what the sensor reported and leaning on whichever it trusts more. It can also track things you never measured directly, like how fast a value is changing. Noisy readings go in; a cleaner signal, and its trend, come out. To give this a try in MATLAB, you can use the...

Responding to SR 26-2: From Strategic Interpretation to Practical Evidence | Part 1 of 4

Thu, 23 Jul 2026 00:00:00 +0000

SR 26-2 Did Not Lighten the Load. It Moved the Burden of Proof.

The real change is not the shorter guidance. It is the centrality of defensible judgment.

Series introduction

This is the first in a four-part blog series examining how banking organizations can interpret and respond to SR 26-2.

Part 1 examines the strategic shift created by the guidance.

Part 2 considers where SR 26-2 creates operating-model flexibility—and where important boundaries remain.

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My Scuba Diving Simulator - Part 2

Thu, 16 Jul 2026 00:00:00 +0000

In my previous post, I modeled a scuba diver using custom Simscape components. I was happy with the components and the overall plant model, but I was not fully satisfied.

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What Does a Spacecraft Instrument Really See?

Wed, 15 Jul 2026 00:00:00 +0000

Mike’s pick this week is spacecraft-vector-intersection by George Xystouris nominated by Kostas Leptokaropoulos

What does an instrument actually see during flight? For fixed cameras this may be straightforward, but for rotating particle instruments, or for any case where a generalized vector such as sunlight or plasma flow

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On scaling Model-Based Design into the Cloud

Tue, 14 Jul 2026 00:00:00 +0000

For this blog, I've collaborated extensively with Gandharv Kashinath, who is a Principal Product Manager at MathWorks and a guru when it comes to running MATLAB in the cloud.

Have you kicked off a parameter sweep on Friday afternoon knowing full well it will not finish before Monday? Or watched a regression suite queue

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Objects are about to get much faster in MATLAB

Tue, 14 Jul 2026 00:00:00 +0000

The MATLAB R2026b pre-release is available now and it includes a completely new object management system that is not turned on by default. When switched on, the new system promises to make object oriented MATLAB code faster without the need to change any code (most of the time). Sometimes, it will be much faster!

This is a big change to the language execution back-end of MATLAB and there's a lot to

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How Model-Based Design Workflows Help Teams Build Better Products Faster

Tue, 14 Jul 2026 00:00:00 +0000

Today’s guest post was written by Gaurav Dubey, Consulting Application Engineer Startups operate in an environment defined by compressed timelines, limited resources, and high expectations. Small engineering teams take on work that once required full organizations. They are responsible for building embedded software, electronics, cloud systems, and AI systems, while ensuring safety, reliability, and scalability, all while moving at startup speed. The challenge grows in industries like electric mobility, robotics, aerospace, medical devices, industrial automation, and energy systems. These products are no longer simple mechanical machines or standalone applications. They are intelligent cyber-physical systems that combine software, electronics, physics, connectivity, and increasingly, AI. As complexity increases, the traditional “build first, debug later” approach begins to break down.

Automating the Unpredictable: Buckeye AutoDrive’s Random Obstacle Trajectory Generation

Mon, 13 Jul 2026 00:00:00 +0000

Today we are joined by students from The Ohio State University's SAE AutoDrive II team - Buckeye AutoDrive.

Representing the Center for Automotive Research (CAR) and the Ohio State Department of Electrical and Computer Engineering (ECE), the Senior Design Capstone Program has partnered with Buckeye AutoDrive to bridge the gap between theory and

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