Since its establishment just a few years ago, the Danish robot company TinyMobileRobots has conquered a large part of the global market for line marking robots for sports fields and other infrastructure tasks.
The lettuce’s outer, or ‘wrapper’, leaves will be mechanically removed to expose the stem. Machine vision and artificial intelligence are then used to identify a precise cut point on the stem to neatly separate the head of lettuce.
This article looks at private 5G (known as P5G) and how it supports advanced and emerging technologies, including AI cameras, enabling manufacturers to drive more functionality closer to the edge.
In the age of the Internet of Things (IoT) and Industry 4.0, intralogistics plays an increasingly important role. The precise transport of goods and materials will become a key factor in efficient production.
We are moving to a world where robots need to make intelligent decisions about what to do based on what they see. Hence the need for machine learning, vision and AI.
One of the biggest challenges in combating air pollution is reliable, scalable monitoring infrastructure, which remains expensive. Robots can help solve this issue and make air pollution tracking easy, accessible and accurate.
Throughout industrial manufacturing, distribution, and logistics the lead time from many AGV manufacturers is more than a year. That means product ordered in Q1 2022 will not be delivered until the following year.
Whilst initially a temporary measure to resolve manpower shortages and high employee costs, many companies are now investing in smart robotics as a permanent and long-term measure in a post-pandemic world.
After 10 years’ existence, Naïo Technologies is consolidating its status as the agricultural robotics leader by being the first company in the world to certify that its large scale agricultural robots will be operating unsupervised in fields from the spring of 2022!
By combining 3D vision, artificial intelligence, and Soft Robotics' industry-proven, IP69K-rated, soft grasping, mGripAI provides industrial robots with the hand-eye coordination of human workers.
Winter weather is an issue for self-driving cars for many of the same reasons it is for humans. While cars don’t have eyes, driverless technologies rely on sensors that need a clear view of their surroundings.
To run at peak efficiency 24/7 and support the sophisticated systems of autonomous robots, automated inventory identification, and other emerging technology, warehouse management and IT teams must consider new networking options.
Robotic dress packs are tasked with protecting, managing, securing and guiding cables and hoses over millions of work cycles. These high demands place an enormous amount of stress on every component within the system.
Advanced 3D lidar sensors emit pulsed light waves into the surrounding environment. These pulses bounce off surrounding objects and return to the sensor. The sensor uses the time it took for each pulse to return to the sensor to calculate the distance it traveled.
Goldman Sachs Asset Management invests in Exotec robotic systems to improve warehouse working conditions while also optimizing operational efficiency