Stories
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Q&A: Unmanned Systems
Professor Animashree (Anima) Anandkumar and her team at The California Institute of Technology (Caltech) have developed a control strategy for unmanned aerial vehicles (UAVs) that uses reinforcement learning to adaptively learn how turbulent wind can change over time and then uses that knowledge to control the UAV based on what it is experiencing.
Articles: Photonics/Optics
Opto Generative Pretrained Transformer (OptoGPT), a decoder-only transformer, developed by University of Michigan engineers, harnesses the computer architecture underpinning ChatGPT to work backward from desired optical properties to the material structure that can provide them. Read on to learn more.
Briefs: Data Acquisition
A Centralized Data Management Platform
Many organizations have data stored in differing formats and various locations throughout the organization and often outside the organization. It is often difficult to access such data. Developed at NASA Ames Research Center is a novel data management platform for managing interconnected data and its derivatives. Read on to learn more about it.
Briefs: Wearables
Leveraging Machine Learning and AI to Automate Wearable Tech Design
Defying engineering challenges in record time, researchers at the University of Maryland developed a machine learning model that eliminates hassles in materials design to yield green technologies used in wearable heaters. Read on to learn more.
Briefs: Imaging
Butterflies can see more of the world than humans, including more colors and the field oscillation direction, or polarization, of light. Other species, like the mantis shrimp, can sense an even wider spectrum of light, as well as the circular polarization, or spinning states, of light waves. Inspired by these abilities in the animal kingdom, researchers have developed an ultrathin optical element known as a metasurface, which can attach to a conventional camera and encode the spectral and polarization data of images captured in a snapshot or video through tiny, antenna-like nano-structures that tailor light properties.
Application Briefs: Software
With the new Smart Connected Sensors platform from Bosch Sensortec, you can track more than just steps. You can program complex whole-body movements and accurately track them during physical workouts or while you are going through a rehabilitation or physical therapy regimen. Read on to learn more.
Briefs: Sensors/Data Acquisition
The researchers are currently refining their approach with an eye toward applications where data is limited but high fidelity is required, such as target detection. Read on to learn more.
Q&A: AR/AI
Professor Saptarshi Das and his team at Penn State University learned that when it comes to mating, two things matter for Heliconius butterflies: the look and the smell of their potential partner. This led them to think about how multiple sensory inputs could enable more efficient use of AI.
Briefs: Connectivity
Scientists have pioneered a method for using semiconductor technology to manufacture processors that significantly enhance the efficiency of transmitting vast amounts of data across the globe. The innovation is poised to transform the landscape of wireless communication. Read on to learn more.
Briefs: Photonics/Optics
Penn Engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing speed of computers while also reducing their energy consumption. Read on to learn more.
Briefs: Robotics, Automation & Control
Getting 800 robots in a warehouse to and from their destinations efficiently while keeping them from crashing into each other is no easy task. So, a group of MIT researchers who use AI to mitigate traffic congestion applied ideas from that domain to tackle this problem. Read on to learn what they built.
Articles: Imaging
Event-based vision is well on its way to establishing itself as a paradigm that will create a new standard in many markets requiring efficiency in how machines can see. Over the past several years, it has successfully evolved to meet a wider range of uses. And by continuing to adapt and address the requirements of many applications, we will see more event-based cameras all around us.
Articles: Software
Companies worldwide are faced with a shortage of skilled labor as experienced workers retire and not enough new talent enters the workforce to compensate. To address this, companies must find a way to capture knowledge from experienced workers and make it both accessible and enticing to new hires. Generative AI can help address this by transforming the way humans and machines interact and collaborate using solutions such as Siemens Industrial Copilot.
Briefs: Imaging
Innovators at NASA’s Johnson Space Center (JSC) have developed computer vision software that derives target posture determinations quickly and then instructs an operator how to properly align a robotic end-effector with a target that they are trying to grapple.
Briefs: Sensors/Data Acquisition
Researchers from Tsinghua University worked to break through the difficulties of robotic recognition of various common, yet complex, items. Read on to learn more.
Q&A: Imaging
Professor Chris Reberg-Horton and his colleagues at North Carolina State University’s Plant Sciences Initiative are taking hundreds of thousands of plant photos and, with the university’s newly acquired Grace Hopper 200 supercomputer, are using them to create the world's largest agricultural image repository.
5 Ws: Motion Control
A team of researchers at Delft University of Technology has developed a drone that flies autonomously using neuromorphic image processing and control based on the workings of animal brains.
Application Briefs: Robotics, Automation & Control
The integration of collaborative robots, or cobots, into manufacturing has revolutionized traditional processes, offering an unprecedented blend of precision, productivity, and safety. Now, with advancements in AI and visual detection systems, cobots are evolving further, equipped to adapt their actions based on visual cues. Read on to learn more.
Briefs: AR/AI
ANYmal has for some time had no problem coping with the stony terrain of Swiss hiking trails. Now researchers at ETH Zurich have taught this quadrupedal robot some new skills: it is proving rather adept at parkour. ANYmal is also proficient at dealing with the tricky terrain commonly found on building sites or in disaster areas. Read on to learn more.
Briefs: Software
Professor Angela Schoellig from the Technical University of Munich uses ChatGPT to develop choreographies for swarms of drones to perform along to music. An additional safety filter prevents mid-air collisions. Read on to learn more.
Briefs: Motion Control
MIT engineers are aiming to give robots a bit of common sense when faced with situations that push them off their trained path. They’ve developed a method that connects robot motion data with the “common sense knowledge” of large language models, or LLMs.
Briefs: Electronics & Computers
An innovative approach to artificial intelligence (AI) enables reconstructing a broad field of data, such as overall ocean temperature, from a small number of field-deployable sensors using low-powered edge computing, with broad applications across industry, science, and medicine.
Articles: Robotics, Automation & Control
Siemens is collaborating with Basler and MVTec in its open Industrial Edge Ecosystem. The results are scalable, plug-and-play solutions that combine Siemens’ automation technology with third-party machine vision hardware and software.
Briefs: AR/AI
Researchers from Tokyo University of Science (TUS) led by Associate Professor Takashi Ikuno have developed a flexible paper-based sensor that operates like the human brain. The researchers fabricated a photo-electronic artificial synapse device composed of gold electrodes on top of a 10 μm transparent film consisting of zinc oxide (ZnO) nanoparticles and cellulose nanofibers (CNFs).
Briefs: Robotics, Automation & Control
Humans are generally good at whole-body manipulation, but robots struggle with such tasks. Now, MIT researchers have found a way to simplify this process, known as contact-rich manipulation planning.
Briefs: Sensors/Data Acquisition
Although the robot braille reader was not developed as an assistive technology, the researchers say the high sensitivity required to read braille makes it an ideal test in the development of robot hands or prosthetics with comparable sensitivity to human fingertips.
Articles: Robotics, Automation & Control
While advanced vision systems give AMRs the power of “sight,” so to speak, AI allows them to identify objects and optimizes how they navigate on a factory floor.
Briefs: Electronics & Computers
In the future, the researchers want to derive simple, rule-based insights from their neural model, since the decisions of the neural network can be opaque and difficult to interpret. Simpler, rule-based methods could also be easier to implement and maintain in actual robotic warehouse settings.
Briefs: Electronics & Computers
By using artificial intelligence, researchers are developing a system that can automatically identify buildings after disasters and make an initial determination of whether they are damaged and how serious that damage might be.
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Briefs: Mechanical & Fluid Systems
Webcasts
Upcoming Webinars: Software

Leveraging Simulation for Net Zero Emissions in Conventional and...
Upcoming Webinars: Manufacturing & Prototyping

Quickly Prototyping Custom Textures on Automotive Parts
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How to Leverage AI-Powered Smart Automation for Design and...
Upcoming Webinars: Unmanned Systems

March 2025 Automated and Connected Vehicles Digital Summit
Upcoming Webinars: Aerospace

A Guide to Electric Aircraft Systems Sizing: ePowertrain, TMS,...
Upcoming Webinars: Aerospace

Advancements in Pulsating Heat Pipes: Analysis and Applications...