The project –which incorporates machine learning, teleoperation, and human-robot collaboration-- demonstrates what happens when you combine AUBO Robotics' commitment to building symbiotic alliances among researchers and research institutions with robotics specialists
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Matt Simon for Wired: Today, three of these machines from Universal Robots handle the brute sanding and painting, while humans handle more complicated tasks like assembly. Some of these workers even turned into robot technicians.
Daniel Hurst for The Guardian: Japanese government wants to increase acceptance of technology that could help fill the gap in the nursing workforce
The two "fingers" of the robot gripper have built-in intelligence and advanced technology that mimics the way humans instinctively use our sense of touch when we grab things to move them.
While the vision systems of old were unreliable, clunky and expensive, today’s systems are anything but. Proper vision systems can make the difference between an efficient robotic system and one that is not working optimally.
Mariella Moon for EnGadget: While the team's UAVs are scanning the skies, their tactical plane will focus on what's happening down below. The plane is equipped with high-resolution CCTVs with facial recognition
As you can see, the continued growth in the creation of drones only shows the shocking improvement in the world of software and tech devices. Just like Artificial Intelligence, it’s another fantastic glimpse into the future!
Designing the right RTOS architecture requires delicate attention and decisions. Basic real-time operating system services such as inter-process communication, process synchronization, process management and interrupt handling must unfold efficiently.
Katie Fehrenbacher for GreenTechMedia: For drone makers, that means a drone could fly farther and longer on a single charge. For example, a drone surveying acres of crop land could fly for an hour instead of just 20 minutes with a standard battery.
David K. Williams for Forbes: The result: production has moved from one machine every 4-6 weeks to an average of 5 machines per month for a total of 130 worldwide and predominance in its sector, with pre-orders booked through June 2018.
Machine vision technologies based on CNNs and deep learning can be used profitably in a wide range of different industrial sectors and applications, allowing the automation and significant acceleration of inspection processes in the electronics industry, for example.
Learn how IntervalZero’s RTOS platform transformed machine automation in Japan
Eric Rosenbaum for CNBC: The Global X Robotics and Artificial Intelligence Thematic ETF has attracted more than $650 million from investors in January, one-fourth of its total assets raised in less than a month.
The latest addition is a small crawler robot that magnetically "sticks" to metal walls and is able to move in all directions. It carries cameras, sensors and tools for inspection or maintenance work in tight pipes and on the outer hulls of tanks or ships.