In order for electrical vacuum generators, grippers and compact ejectors to be visible to the smart factory, they must provide digital energy and process data in real time.
Hirth Engines Head of International Business Development, Peter Lietz, highlights the importance for engine manufacturers to advance endurance capabilities of unmanned aerial vehicles (UAVs) in extreme terrains.
In France's Bordeaux region, robots ensure that the wine is organically good. They autonomously eliminate grass and weeds between the vines, making pesticides unnecessary. To enable the robots to navigate the hilly terrain, the developers took some cues from Mars rovers.
AirBox Technology is a patented product invented by Mr. Pargoe to provide remote secure delivery access points to anyone in the world. Its core product, the AirBox Home, includes a proprietary Internet of Things (IOT) board capable of communicating with both service provider
Making a legged robot walk is not simple. Coordinating the motion of all its joints to achieve smooth motions, close to those of real animals, requires advanced engineering and careful observation of moving animals. But what if its been extinct for 300 million years?
Stereotaxis Robotic Magnetic Navigation (RMN) enables physicians to better perform cardiac ablation procedures (the least invasive type of heart surgery) by providing unprecedented catheter precision and stability inside the delicate tissue of a beating heart.
For manufacturers, the reliability of the quality control of industrial parts of all kinds is crucial, because defective parts due to non-conformity have serious effects on production performance.
Tests over the past five years around the globe show that autonomous trucks can be efficiently/effectively deployed now for standard environments but are not ready to handle such things as inclement weather, construction zones and similar issues.
The process of training robots through virtual Reality is referred to as Imitation learning. This technique assists a robot to absorb several skills in a low-cost and low risk environment. The robots can easily mimic the human, guided by machine learning algorithms.
With robots available to fulfill most of the mundane jobs in construction, human workers will now be able to concentrate on more skill-oriented tasks.
Robotic automation process is a kind of application which offers software configuration in computers. Such process further helps in interpreting and capturing the transaction, manipulated data, processing responses, and creating a communication process ...
Deep learning is a machine learning technique that teaches computers to learn by example just as we learned as a child. We see this technology in autonomous vehicles.
High-speed CXP 2.0 is ideal for AV and ADAS (Advanced Driver Assist Systems) connectivity applications. Camera images from multiple sources around the vehicle, along with data from sensors capturing object shape, speed and distance.
The Robust Hardware Design and Robotic Software Lies at the Heart of Efficient Robotic Drilling Applications
Presently, end-user industries such as oil & gas, construction, manufacturing, aerospace, and healthcare industries are witnessing significant traction for high precision automated drilling robots.
Using ATI's QC-11 Tool Changer and Tool Stands, the Autocalibration Kit enables each system to recalibrate before moving on to the next inspection job.
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