ACE Issue 30 2022 | Page 16

Autonomously driving robotic assistance system for the automated placement of coil creels

Picked up and put off

Autonomously driving robotic assistance system for the automated placement of coil creels
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Due to the industry standard 4.0 , digitalisation , automation and networking of systems and facilities are becoming the predominant topics in production and thus also in logistics . Industry 4.0 pursues the increasing optimisation of processes and workflows in favour of productivity and flexibility and thus the saving of time and costs . Robotic systems have become the driving force for automating processes . Through the Internet of Things ( IoT ), robots are becoming increasingly sensitive , autonomous , mobile and easier to operate . More and more they are becoming an everyday helper in factories and warehouses . Intelligent imaging techniques are playing an increasingly important role in this .

To meet the growing demands in scaling and changing production environments towards fully automated and intelligently networked production , the company ONTEC Automation GmbH from Naila in Bavaria has developed an autonomously driving robotic assistance system . The “ Smart Robot Assistant ” uses the synergies of mobility and automation : it consists of a powerful and efficient intralogistics platform , a flexible robot arm and a robust 3D stereo camera system from the Ensenso N series by IDS Imaging Development Systems GmbH .
The solution is versatile and takes over monotonous , weighty set-up and placement tasks , for example . The autonomous transport system is suitable for floor-level lifting of Euro pallets up to container or industrial format as well as mesh pallets in various sizes with a maximum load of up to 1,200 kilograms . For a customer in the textile industry , the AGV ( Automated Guided Vehicle ) is used for the automated loading of coil creels . For this purpose , it picks up pallets with yarn spools , transports them to the designated creel and loads it for further processing . Using a specially developed gripper system , up to 1000 yarn packages per 8-hour shift are picked up and pushed onto a mandrel of the creel . The sizing scheme and the position of the coils are captured by an Ensenso 3D camera ( N45 series ) installed on the gripper arm .
APPLICATION
Pallets loaded with industrial yarn spools are picked up from the floor of a predefined storage place and transported to the creel location . There , the gripper positions itself vertically above the pallet . An image trigger is sent to the Ensenso 3D camera from the N45 series , triggered by the in-house software ONTEC SPSComm .
It networks with the vehicle ’ s PLC and can thus read out and pass on data . In the application , SPSComm controls the communication between the software parts of the vehicle , gripper and camera . This way , the camera knows when the vehicle and the grabber are in position to take a picture . This takes an image and passes on a point cloud to a software solution from ONTEC based on the standard HALCON software , which reports the coordinates of the coils on the pallet to the robot .
The robot can then accurately pick up the coils and process them further . As soon as the gripper has cleared a layer of the yarn spools , the Ensenso