AR/​AI

Stories

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Articles: Software
In this special feature, we asked three industry experts — Eric Carey, CTO, Teledyne DALSA, Brian Benoit, Director of Advanced Vision Products at Cognex, and Ron Jubis, President of Sales, North America and Managing Director of SICK, Inc.— to share their thoughts on the impact of AI on machine vision, emerging challenges and best practices, as well as the trustworthiness of AI-driven visual inspection.
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Briefs: Robotics, Automation & Control
Stanford researchers have introduced a system designed to help Astrobee, a cube-shaped, fan-powered robot, autonomously navigate the International Space Station. Read on to learn more.
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Application Briefs: Manufacturing & Prototyping
Robotic biomanufacturing company Multiply Labs recently announced a landmark milestone in its mission to scale production of cell and gene therapies. The company is now leveraging NVIDIA’s open Isaac and GR00T technologies including advanced robotics simulation and perception, marking a turning point for an industry that has historically relied on manual, “artisanal” processes. Read on to learn more.
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Briefs: Motion Control
A new artificial intelligence control system enables soft robotic arms to learn a wide repertoire of motions and tasks once, then adjust to new scenarios on the fly, without needing retraining or sacrificing functionality. This breakthrough brings soft robotics closer to human-like adaptability for real-world applications. Read on to learn more.
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Briefs: Imaging
By folding AI algorithms into a camera’s sensor itself, researchers at the Department of Energy’s Lawrence Berkeley National Laboratory have now eliminated a data-processing bottleneck that has long plagued the performance of spectral imaging technology. The result is an intelligent sensor capable of identifying chemicals and characterizing materials quickly and efficiently. Read on to learn more.
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Special Reports: Test & Measurement
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ADAS/Connected & Automated Vehicles - March 2026
How smart actuators are revolutionizing vehicle technology…Qualcomm's superbrains are here to help with automated driving…building smarter safety systems through sensor collaboration. Read...

Special Reports: Imaging
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Military & Maritime Uncrewed/Autonomous Systems - March 2026
Keep up with the rapid development of autonomous systems impacting warfare, homeland security, naval operations and more in this collection of articles from the editors of Aerospace...

INSIDER: Motion Control
Northwestern University engineers have developed the first modular robots with athletic intelligence. They can be combined and recombined in the wild, recover from injury and keep moving no...
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INSIDER: AR/AI
Whether in the kitchen or on a workshop floor, robot assistants that can fetch items for people could be extremely useful. Now, a team of Brown University researchers has developed...
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Blog: Research Lab
Believe it or not, new research finds that the use of artificial intelligence has a minimal effect on global greenhouse gas emissions and may actually benefit the environment and the economy.
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Summits: AR/AI
Increased demand for vehicle connectivity has led to cutting-edge developments in the automotive industry. However, the world of connected vehicles also requires designers to navigate...
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Webinars: Test & Measurement
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Most engineers have experimented with AI by asking for code snippets and pasting them into their workflow. While this approach is useful, it barely scratches...
Blog: Automotive
The second annual SAE Media Group’s Women in Engineering: Rising Star Awards program proudly honors women engineers who are driving innovation and making significant contributions to the engineering profession across six key categories: Aerospace/Defense, Automotive, Electronics, Manufacturing, Medical, and Robotics & Automation/AI. Meet Rising Star Award Winner Sadiyah Sabah Chowdhury.
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Special Reports: Test & Measurement
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Test & Measurement - March 2026
Read about innovations in smart sensors, super‐resolution microscopy, ultra high‐temperature measurement, and more in this compendium of articles from the editors of Tech Briefs and Aerospace and Defense...

Q&A: Physical Sciences
Professor Ziyou Song of the University of Michigan, with the assistance of Jiawei Zhang and their team, has developed a method for using AI to predict battery life of new designs based on just dozens of charge-recharge cycles instead of the usual 1,000 or more.
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Webinars: Test & Measurement
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Engineers and technicians working with test data often struggle with spreadsheet limitations: frozen screens on large datasets, manual copying of data between files...
INSIDER: Robotics, Automation & Control
A new artificial intelligence control system enables soft robotic arms to learn a wide repertoire of motions and tasks once, then adjust to new scenarios on the fly, without...
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Blog: Robotics, Automation & Control
Researchers have developed a new AI control system that allows soft robots to adapt across diverse tasks and disturbances.
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Articles: Automotive
By leveraging rich simulation data to train AI models, which can then be used to quickly explore a design space and guide further simulations, the existing product design process can be enhanced to become faster and more flexible. Read on to learn more.
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Briefs: Robotics, Automation & Control
Researchers at the University of Tokyo developed a framework to enable decentralized artificial intelligence-based building automation with a focus on privacy. The system enables AI-powered devices like cameras and interfaces to cooperate directly, using a new form of device-to-device communication. In doing so, it eliminates the need for central servers and thus the need for centralized data retention, often seen as a potential security weak point and risk to private data. Read on to learn more.
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Briefs: Software
The technique promises immediate impact not only on high-capacity optical communications but also on real-time endoscopic imaging, vibration-tolerant fiber sensors, and any application that demands fast, energyefficient phase retrieval. Read on to learn more.
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Briefs: RF & Microwave Electronics
Imagine simply telling your vehicle, “I’m in a hurry,” and it automatically takes you on the most efficient route to where you need to be. Purdue University engineers have found that an autonomous vehicle (AV) can do this with the help of ChatGPT or other chatbots made possible by artificial intelligence algorithms called large language models. Read on to learn more.
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Special Reports: Robotics, Automation & Control
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Robotics & Motion Control - February 2026
Engineering the next generation of surgical robots...conductive skin gives robots the human touch...how vision integration is transforming collaborative robotics. Read about these innovations and more...

INSIDER: Software
Building on her experience volunteering at retirement homes, Carnegie Mellon researcher Jasmine Li decided to focus her research on assistive robotics that help people with everyday tasks....
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INSIDER: Sensors/Data Acquisition
Engineers at the University of California San Diego have developed a next-generation wearable system that enables people to control machines using everyday gestures — even...
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INSIDER: Test & Measurement
Viavi Solutions Inc. has integrated the "RF Viewer" augmented reality (AR) application into its OneAdvisor 800 Wireless test platform. Designed to address telecommunications, network...
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Briefs: Sensors/Data Acquisition
When it comes to haptic feedback, most technologies are limited to simple vibrations. But our skin is loaded with tiny sensors that detect pressure, vibration, stretching and more. Now, Northwestern University engineers have unveiled a new technology that creates precise movements to mimic these complex sensations. Read on to learn more.
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Briefs: AR/AI
A new system that brings together real-world sensing and virtual reality would make it easier for building maintenance personnel to identify and fix issues in commercial buildings that are in operation. The system was developed by computer scientists at the University of California San Diego and Carnegie Mellon University. Read on to learn more.
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Briefs: AR/AI
For a robot, the real world is a lot to take in. Making sense of every data point in a scene can take a huge amount of computational effort and time. Using that information to then decide how to best help a human is an even thornier exercise. Now, MIT roboticists have a way to cut through the data noise, to help robots focus on the features in a scene that are most relevant for assisting humans. Read on to learn more.
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