Instead of a new eyepiece or objective lens, the four-meter reflector telescope is being outfitted with about 5,000 fiber optic sensor-equipped, pencil-sized robots. The 5,000 robots will fit inside ten wedge-shaped petals.
Much like other industries, the automotive industry is changing. With the increase in the variety of vehicle models, variants, and derivatives being produced and the shorter product life cycles in the automotive industry.
The human vs. robot topic in workplaces has been in the spotlight for quite a while. While many people are concerned about the risk that robots would massively replace humans, the truth is that robotization is actually creating jobs.
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.
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Our fully autonomous intelligent vehicles will help you to transform the way you move materials and route your workflows. Increase throughput, eliminate material flow errors, improve traceability, maximize flexibility and allow your employees to focus on higher level tasks. Unlike traditional AGV's, our mobile robotics navigate using the natural features of your facility and do not require expensive facility modifications or guidance. Our AIV's can adapt to changes in their environment and work freely and safely with your staff. Our mobile robots are intelligent enough to quickly learn their environment and then automatically find the optimal path to where they need to go. They also automatically make adjust for dynamic environments and can work together in fleets of up to 100 robots.