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FourByThree proposes the development of a new generation of modular industrial robotic solutions that are suitable for efficient task execution in collaboration with humans in a safe way and are easy to use and program by the factory workers.
The project was active for three years, December 2014-2017.
−Source: Universal Robots
Norwegian meat producer Nortura needed to optimize palletizing, but with limited floor space and a tight budget. A UR10 robot with a ceiling-mounted vision system provided a cost-effective and high-performance palletizing system in one-fifth of the space typically required. If no pallet is present, the floor space is available for other processes.
Challenge
Typical palletizing robots require a large fixed cell with safety caging that takes up extensive floor space. Nortura wanted to be able to palletize continuously without stopping the production line, but needed the flexibility of using the space for other processes if there were no pallets in place.
With a limited budget, Nortura had the added challenge of finding a cost-effective 6-axis robot that had the required range and payload capacity to stack boxes of different sizes and weights at different heights on a pallet. The robot also needed to be flexible and easy to program to work with the vision system, and reliable enough to run with minimal supervision.
Solution
Nortura wanted to optimize palletizing, but couldn’t use a traditional palletizing robot which requires a large permanent cell with safety caging. Norwegian robotics integrator Rocketfarm AS customized a vision system to complement the Universal Robots UR10 collaborative robot for an innovative, small-footprint approach. The IFM O2D222 vision camera is mounted in the ceiling above the robot, which is mounted below it on a narrow stand and is equipped with the Unigripper SMS 80-200 vacuum gripper. While in standby mode, the mounted robot’s footprint is only .5m2. The robot’s working area is simply a painted space on the floor, which marks where operators place an empty pallet. “We used maybe 10 to 20 percent of the space that a traditional robot would have used,” Lars Bårdgard Åstveit, developer at Rocketfarm AS. “When there’s no pallet there, the space is free—it’s as if the palletizing system doesn’t exist.”
Once a free pallet is placed on the floor, the vision system automatically detects it as well as boxes moving on the conveyor belt and begins palletizing on its own. “No one has to tell the robot, ‘there’s a box here now, go palletize it,’ adds Åstveit. “The system just sees it and starts palletizing.” The 6-axis robot’s program can be easily customized to stack different-sized boxes in the pattern that the customer of the pallet requires, such as turning boxes so that the box labels are visible on all sides of the pallet. The robot can stack an average of 20 pallets each day, for a total of 1700 boxes per day.
An additional advantage is that the robot can provide error-checking for the previous machines on the production line. While humans might not notice that a box wasn’t filled properly, the robot measures the weight of each box and signals if a box comes down the line with fewer packages inside. “The UR10 is a robot that has all the right specifications,” stated Åstveit. “It’s inexpensive, it has the range that not many other cobots have, and it has the payload so it can lift the products we need it to lift. And it’s quite flexible in its programming.”
But the most important aspect was its ability to work safely beside human workers. The UR10 robot automatically stops if it runs into something that is not part of the planned path—even if that’s a human being standing on an empty pallet. “If it didn’t have that capability, we wouldn’t have been able to use this robot,” said Åstveit. “It’s a critical feature—a deal breaker. Without the safety features of the UR10, we wouldn’t have been able to do this job.”
Nortura estimates the payback for the palletizing system to be less than one year when running a single shift, and they have the ability to run more shifts if necessary for even faster payback. In fact, Nortura was so pleased with the system that they immediately ordered two more systems to run on different production lines that will run even faster with smaller boxes.
Source: PSFK
The further experts hypothesize about the future of our workforce, the more we find ourselves talking about robots and automation. Whilst the prospect of technical unemployment remains a very dire reality for some occupations, there is one startup that is looking to give the future of robotics and animation a collaborative boost. Tend.ai is a cloud-based solution aimed to assist with machine tending processes.
The idea behind Tend.ai is to provide the ‘smarts’ behind these robots, starting within smaller operations. The lightbulb moment came when founder and CEO of the startup noted his neighbor’s wife constantly tending to numerous 3D printers.
“This whole thing started because a friend of mine down the street literally has 20 3D printers, and his wife was having to run out every three minutes to keep them running,” said Mark Silliman, co-founder and CEO of Tend.ai, in an interview with TechCrunch.
The cloud-based automator is designed specifically for collaborative robots such as the Universal Robotics UR5. Robots such as this learn from the physical actions dictated by their owner—literally pointing the arm here and there.
The Tend.ai systems works by relaying this movement information between a camera attached to the arm and a small computer, provided by the startup. The data created is then sent to and stored in the cloud. As more and more commands are added to the cloud, new users will be able to access these pre-set commands for their own operations. The result is an automated machine tending process.
What is ‘machine tending’?
Essentially, any manufacturing or factory setting will have a set of actions of processes that are interacting directly with large machinery. Traditionally these interactions were undertaken by humans, however, in recent years robots have begun to make the human element redundant. This is, in many ways, an innovation as people are allowed to step back from the manual labor of tasks and focus on providing further efficiencies to the process.