Manual singulation of huge piles of parcels and envelopes, followed by sorting and placing them on a conveyor belt, gets challenging, especially during peaks. Automation of this process can increase productivity, save costs and time, and reduce injuries.
Manual singulation of huge piles of parcels and envelopes, followed by sorting and placing them on a conveyor belt, gets challenging, especially during peaks. Automation of this process can increase productivity, save costs and time, and reduce injuries.
How will they help customers in their industrial applications? Photoneo’s Marcel Svec, Director of 3D Sensing, and Svorad Stolc, Head of R&D, have answered this and other questions.
Thanks to advances in technologies such as 3D machine vision, robotics is entering all spheres of industrial processes. The COVID-19 outbreak has boosted awareness of the pressing need to apply automation for fast and accurate order fulfillment and efficient supply chains.
This article explores TPU vs GPU differences in architecture, performance, energy efficiency, cost, and practical implementation, helping engineers and designers choose the right accelerator for AI workloads today!
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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.
MIT researchers' DiffSyn model offers recipes for synthesizing new materials, enabling faster experimentation and a shorter journey from hypothesis to use.
Manual singulation of huge piles of parcels and envelopes, followed by sorting and placing them on a conveyor belt, gets challenging, especially during peaks. Automation of this process can increase productivity, save costs and time, and reduce injuries.
5 minutes read
How will they help customers in their industrial applications? Photoneo’s Marcel Svec, Director of 3D Sensing, and Svorad Stolc, Head of R&D, have answered this and other questions.
4 minutes read
Thanks to advances in technologies such as 3D machine vision, robotics is entering all spheres of industrial processes. The COVID-19 outbreak has boosted awareness of the pressing need to apply automation for fast and accurate order fulfillment and efficient supply chains.
6 minutes read
No need to worry, AI based cybersecurity can help you!
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When a natural disaster occurs, on-the-ground emergency response teams act quickly to make life-saving decisions. Reducing the response time in such situations is critical to reduce damage impact and save lives.
In-engine Positional And Object Tracking
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The future of human digital interaction
Making sensors more intelligent has required substantial investment in machine learning algorithms. The SensiML platform aims to bring that cost crashing down.
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On the spectrum between teleoperation and full autonomy, and readily available for implementation today, is supervised autonomy
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We are just entering a time driven by intelligent and specialized machines, and the possibilities are limitless.
RE2 Robotics develops robotic manipulation systems with human-like performance, intuitive robot interfaces and advanced autonomy software that can operate in both indoor and outdoor environments..
Climbing to the top
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How Trixter Used Xsens MVN Animate For The Kangaroo Chronicles
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As a cornerstone of artificial intelligence (AI), machine learning enables smart systems to perform increasingly complex cognitive tasks without requiring explicit instructions. One interesting application of modern machine learning is for high-accuracy gesture detection for portable devices.
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Millimeter-level Accuracy Thanks To Xsens Motion Sensor
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