This Honeywell Intelligrated white paper examines the specific labor, operational and technological challenges on the loading docks of distribution centers (DCs), and introduces a new solution to help deliver the performance modern supply chains require.
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.
Being able to noninvasively control robotic devices using only thoughts will have broad applications, in particular benefiting the lives of paralyzed patients and those with movement disorders.
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.
As society becomes more dependent on technology, the robotics engineering job market will go through changes. Here are some of the things to expect this year and in the near future.
"High levels of up-front expenditure, both in development and hardware, characterise the space, typically demanding large scale pain points before investment begins."
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.
RoboTech Vision is a Slovakia based software company that works in the fields of robotics, visual systems, web applications development, custom software, and mobile applications development.
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Need to increase safety? Are you using light curtains? Is space a concern? Dynatect's Gortite® VF Automated Machine Safety Door combines safety technology, speed, and a physical barrier to isolate hazardous operations. Use of a physical barrier with safety sensors can save up to 30 square feet of manufacturing space. Using the ANSI minimum safety distance formula, the Gortite® VF Door limits the depth penetration factor and average approach speed, allowing closer location of the safeguarding device. Unlike light curtains, which can't contain process hazards, an automated machine safety door can isolate common workplace debris. This physical barrier is designed to contain process driven hazards such as weld sparks, UV flash, and light debris. Thus, the operator can maintain closer proximity to the work area improving ergonomics and productivity.