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Case Studies > Small Robots OVR: 3-Axis Cartesian Robot for Improved Productivity in Palletizing Systems
Small Robots OVR: 3-Axis Cartesian Robot for Improved Productivity in Palletizing Systems
Issue: Automation of the manual palletizing process
Palletizing is the process of neatly arranging small industrial parts on pallets, and is a key productivity enhancer in parts manufacturing plants. Currently, this work is performed manually, but automation using industrial robots is being considered. However, the excessive size and functionality of typical industrial robots pose challenges in terms of cost and space when introduced. There are also concerns about the costs and lack of skills associated with hiring an SIer due to lack of experience in robot implementation.
Challenge:
- Manual palletizing increases the burden on workers and leads to unevenness in work, hindering productivity improvement.
- General industrial robots are over-specified for on-site work, and their high cost of introduction has been a factor preventing the realization of automation.
Solution:
- Small Robots OVR 3-axis Cartesian Robots for Improved Productivity
To address these issues, the OVR 3-axis cartesian robot, which is compact and easy to handle, can be introduced to efficiently automate the palletizing process and improve productivity.
Assembly-free Design for Faster Equipment Start-up
Small Robots OVR (3-axis cartesian robot) has a movable range of 300 mm x 300 mm x 100 mm and a payload capacity of 2.5 kg, making it the right size for automating the transfer of small loads. The 3 axes of the motorized linear slide are delivered assembled, eliminating the need for assembly man-hours and reducing the time required to start up the equipment. The small number of parts also reduces the time and effort required for creating BOMs, and ordering and receiving those parts.
Easy-to-Control Robot Controller
MRC01-C is a robot controller that controls Small Robots OVR (3-axis Cartesian robot) and features intuitive design even for beginners. Setup is done with MRC Studio, a programming software that can be downloaded free of charge. Operation programs set up with the programming software MRC Studio can easily teach and check using only a PC.
System Configuration
The robot can be easily controlled by using the MRC01-C and the programming software MRC Studio.
The recommended drivers that can be connected to MRC-01 are the DC input type driver AZD-KD or the mini Driver AZD-KR2D.
| Product Name | Quantity | |
|---|---|---|
| Robot | OVR3AR030030Z10K-C | 1 |
| Robot Controller | MRC01-C | 1 |
| Driver | AZD-KD | 3 |
| Cable Between Motor and Driver (3 m) | CCM030Z1CBF | 1 |
| CCM030Z1CVR | 1 | |
| CCM030Z1DFR | 1 | |
| RS-485 Communication Cable (0.1 m) | CC001-RS4 | 3 |
Linkage Function With 2D Vision Sensor to Automate More Advanced Operations
The robot controller MRC01 is equipped with useful functions for driving the robot using information on the position and angle of the load acquired by the vision sensor.
Compatible Models of Image Processing Device and PLCs
The above configuration diagram is an example of connection with the CV-X Series manufactured by KEYENCE CORPORATION. Connections with other manufacturers are also available, so contact us for details.
Calibration
In order to link with a 2D camera, perform pre-calibration using MRC Studio. The settings can be easily configured by simply following the on-screen instructions while looking at the illustrations, reducing the man-hours required for correction. (Up to 2 cameras can be calibrated.)
Vision Sensor Information Being Imported Into the Robot Controller MRC01 in a Palletizing System
Reliable Setup Support
For customers who have purchased the Small Robots OVR and the easy programming robot controller MRC01 but are unsure about the initial configuration, we have experienced tech support engineers here to help customers with robot needs like programming for their equipment and assist with vision sensor setup. This service helps reduce the customer’s workload and overall labor hours.
Engineering Notes
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