Intelligent Automation (IA) is a set of technologies and methods for automating the work of white-collar professionals and knowledge workers. Here, we present a framework for explaining its power in terms of four main capabilities—Vision, Execution, Language, and Thinking & Learning—and how they can enable business transformations, with people and business goals at the center.
With research suggesting feral pigeons do as much as $1.1 billion in damage in the US alone, a project which pairs a commercial drone with machine learning to scare them away — without injury — could prove key to their control.
5 Questions to Ask Before Getting Started with Data Annotation: What is data annotation? Why is it essential? What are common label types for models? How do AI-powered data annotation tools help with the computer vision labeling process? What’s the best way to get started?
This comprehensive article dives deep into the world of robotics, exploring the history, types, engineering components, applications, and future trends of robots, offering readers an in-depth understanding of how these remarkable machines work and shape our lives.
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University
At the Harvard John A. Paulson School of Engineering and Applied Sciences (...
42 Posts
Robotics & Automation
READY Robotics is a robotics software company that vastly simplifies robot ...
24 Posts
Automation Machinery Manufacturing
We are a company in flying robotics, specializing in Non-destructive inspec...
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Everyone, guess how fast is it?
The new design could assist the elderly as they age in place at home.
The hospitality industry can leverage the gender characteristics of service robots to influence customers' decisions, according to new research from a team in the Penn State School of Hospitality Management.
Service robots have evolved from simple automated machines to intelligent adaptive systems that can navigate unpredictable environments and interact with humans.
Engineers at Princeton and North Carolina State University have combined ancient paper folding and modern materials science to create a soft robot that bends and twists through mazes with ease.
A research team from ETH Zurich and the University of Zurich (UZH) has developed a novel approach to treating spinal cord injuries: controllable microrobots deliver stem cells directly to the site of an injury, where they promote nerve cell regeneration.
Cornell engineers have developed a robotic collective that behaves less like a machine and more like a material that flows, reshapes and adapts to its environment without centralized control.
From hospital wards to crop fields, from microscopic swarms to biohybrid machines powered by fungi, robotics research at Cornell spans an astonishing range of scale, application and ambition.
Intelligent Automation (IA) is a set of technologies and methods for automating the work of white-collar professionals and knowledge workers. Here, we present a framework for explaining its power in terms of four main capabilities—Vision, Execution, Language, and Thinking & Learning—and how they can enable business transformations, with people and business goals at the center.
With research suggesting feral pigeons do as much as $1.1 billion in damage in the US alone, a project which pairs a commercial drone with machine learning to scare them away — without injury — could prove key to their control.
5 Questions to Ask Before Getting Started with Data Annotation: What is data annotation? Why is it essential? What are common label types for models? How do AI-powered data annotation tools help with the computer vision labeling process? What’s the best way to get started?
4 minutes read
The CyberSpec framework is designed to detect anomalous behavior linked to cyber-attacks against crowd-sensing spectrum sensors, even when said sensors are running on lightweight resource-constrained hardware like a Raspberry Pi.
Developed at Google Research, HyperTransformer decouples the task space and individual task complexity to generate all model weights in just one pass — while also offering support for unlabeled sample ingestion.
This intelligent solution by VUEZ Levice deploys 3D machine vision and bin picking software from Photoneo to enable robots to precisely recognize and pick cylinders that are to be welded.
Designed to dramatically reduce the amount of training data needed for an image recognition system, this one-shot approach "inspired by nativism" takes a leaf from humans' ability to intuit and abstract.
ERIS is a computer vision-powered robot that scans retail store shelves and price tags in order to detect out-of-stock items and identify errors and inconsistencies in product prices. It provides data extraction and on-the-go analytics and sends instant error alerts to store operators and managers.
3 minutes read
With a revolution in robot programming coming in the form of easy to use collaborative and industrial robots, more machine shops are taking on automation projects.
3 minutes read
Considered obsolete since the introduction of vision transformers, ConvNeXt proves there's life in convolution yet — outperforming its rivals by adopting some of their own tricks.
#6 of our 'Voice of Innovation' fireside chat series: Robotics and AI reporter Rachel Gordon speaks to IoT networking savant Wienke Giezeman.
MotionCam-3D by Photoneo enables 3D scanning & handling of objects that are moving on an overhead conveyor without interruption. The camera provides high-quality 3D data even while the objects are moving, swinging, or slightly rotating.
ETH researchers led by Marco Hutter developed a new control approach that enables a legged robot, called ANYmal, to move quickly and robustly over difficult terrain. Thanks to machine learning, the robot can combine its visual perception of the environment with its sense of touch for the first time.
3 minutes read
In this episode, we talk about an initiative from EPFL to allow those with spinal cord injuries to control robots for help with day-to-day tasks and MIT’s bug robots that are taking big strides for small scaled bio-robotics.
INGENERSUN, S.L. developed an advanced solution for automated unloading of tires, which was performed manually before. The solution consists of a FANUC robot, 3D vision and bin picking system from Photoneo, software from Bcnvision, and other components.
