Featuredcase study
This one-of-a-kind technology developed by Intelligent Robotics uses AI and Photoneo MotionCam-3D cameras to let robots fully automate the process of beef carcass scribing.
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This one-of-a-kind technology developed by Intelligent Robotics uses AI and Photoneo MotionCam-3D cameras to let robots fully automate the process of beef carcass scribing.
Featured
Researchers at CMU combined two vision foundational models—models trained on large visual data sets—to help a robot arm recognize the shape and the type of fruit and vegetable slices.
Featured
Modern robots know how to sense their environment and respond to language, but what they don’t know is often more important than what they do know. Teaching robots to ask for help is key to making them safer and more efficient.
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TAGGED WITH machine learning
Nakahira received a Young Investigator Award from the Japan Science and Technology Agency for developing a machine that builds autonomous systems.
Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic frameworks, or MOFs.
EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems, where the breakdown of one element often means a loss of functionality.
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TAGGED WITH motion capture systems
Latest Posts
This one-of-a-kind technology developed by Intelligent Robotics uses AI and Photoneo MotionCam-3D cameras to let robots fully automate the process of beef carcass scribing.
Researchers at CMU combined two vision foundational models—models trained on large visual data sets—to help a robot arm recognize the shape and the type of fruit and vegetable slices.
3 minutes read
Modern robots know how to sense their environment and respond to language, but what they don’t know is often more important than what they do know. Teaching robots to ask for help is key to making them safer and more efficient.
5 minutes read
The customer, an automotive manufacturer, needed an automation solution for the palletization and depalletization of large ABS parts. They decided on a solution where one vision-guided robot operates both processes.
In this episode, we talk all about connectomics - the study of animal brains - and how researchers at MIT have started leveraging AI to break through the primary bottleneck: brain image acquisition.
18 minutes read
Computer vision enables contact-free 3D printing, letting engineers print with high-performance materials they couldn’t use before.
MIT CSAIL researchers combine AI and electron microscopy to expedite detailed brain network mapping, aiming to enhance connectomics research and clinical pathology.
By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts.
Sevensense’s Visual AI implemented into STILL's iGo neo platform for precise Autonomous Navigation and Pallet Handling
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The butterfly effect—the idea that a butterfly flapping its wings in South America could change the course of a tornado in Texas—has been a popular way to illustrate the difficulty of making predictions about the behavior of chaotic systems like the weather. Because such systems are extremely sensitive to their initial conditions, even the tiniest of changes can send their behavior careening off into unexpected directions.
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