Process layout
Process Overview
This deployment is a pick-and-place automation solution for handling steel plates on a press line, using PICKSYS 3D vision and Doosan collaborative robots(Cobots).
By combining 3D vision with cobots, the system can handle unstandardized (non-uniform) steel plates safely and efficiently. It automates tasks that operators typically avoid, improving overall operating efficiency and helping increase job satisfaction on the floor.
Warranty Period : 1 year
Project Year : 2023
Project Duration : 8 weeks
Solution design & fabrication: 4 weeks
On-site installation: 2 weeks
Stabilization: 2 weeks
Project Background and Objectives
Automate undesirable tasks to help prevent operator turnover.
Replace high-payload, repetitive work with robots to help prevent musculoskeletal injuries and workplace incidents.
Maximize efficiency in repetitive loading/unloading work using a vision system.
Components
| Robot | Doosan Robotics A0912 Payload: 9 kg Reach: 1,200 mm Pick-it L SD vision 3D camera Processor 3.0, cable set Set of three (3) region markers Robot calibration plate |
|---|---|
| Peripherals | PICKSYS frame Vacuum gripper Dedicated jig Harness OP switch |
Workflow
| STEP 1. | Steel plates are processed at the press line |
|---|---|
| STEP 2. | The 3D vision system detects each steel plate |
| STEP 3. | Detected plate data is transferred to the collaborative robot |
| STEP 4. | The cobot picks the steel plate using a vacuum gripper |
| STEP 5. | The vision system identifies the target placement position |
| STEP 6. | The cobot places the steel plate at the designated location. |
Features
3D vision enables recognition and handling of various workpiece geometries.
Collaborative robots enable safer and more efficient operation for operators.
3D vision supports optimized loading (space utilization) within a constrained container/bin space.
Results
| Key Benefits | Replaces manual labor for repetitive operations and enables 24/7 operation. |
|---|---|
| Client Feedback | By automating high-payload and repetitive processes with robots, operator turnover decreased. The customer also noted improved throughput and expressed high satisfaction. |

Unauthorized copying or reproduction of any content on Marosol may violate the Unfair Competition Prevention Act and Copyright Act.
Recommended Solution
Metal Machining Machine Tending for Three WIA MCTs using Yaskawa Robots
This machine tending automation solution utilizes a YASKAWA industrial robot to automate the loading and unloading of metal workpieces for three WIA MCT (F410D) units. In the traditional process, operators had to stand by the machines constantly to manually feed workpieces. By delegating the loading and unloading tasks to the robot, operators can now focus on overall equipment management and system operation, significantly increasing operational efficiency. Furthermore, by having a single robot service three machining centers, productivity is maximized across the entire production cell.
Order Picking using Yaskawa and Mech-Mind
This logistics automation solution utilizes Mech-Mind 3D Vision and the Yaskawa GP8 robot to automate the order picking of various unstructured objects. By leveraging a highly cost-effective 3D vision system that recognizes both the position and shape of products, the system can perform picking tasks without additional manual teaching—even when new products are added or existing ones are changed. The project was specifically designed to automate the picking of irregular items in logistics center picking zones.
Defect Inspection of Cutting Tools using Doosan Cobots and Keyence Equipment
This vision inspection solution utilizes the Doosan M0609 collaborative robot and the Keyence Image Dimension Measurement System (IM Series) to automate the dimensional inspection and defect sorting of cutting tools. Previously, operators had to manually measure each part and perform visual inspections, which often led to human error in sorting and required a high amount of labor for simple, repetitive tasks. By implementing robot automation, inspections are now performed continuously without idle time. This has increased the precision of defect detection, simultaneously improving both productivity and product quality.
Process layout
Process Overview
This deployment is a pick-and-place automation solution for handling steel plates on a press line, using PICKSYS 3D vision and Doosan collaborative robots(Cobots).
By combining 3D vision with cobots, the system can handle unstandardized (non-uniform) steel plates safely and efficiently. It automates tasks that operators typically avoid, improving overall operating efficiency and helping increase job satisfaction on the floor.
Warranty Period : 1 year
Project Year : 2023
Project Duration : 8 weeks
Solution design & fabrication: 4 weeks
On-site installation: 2 weeks
Stabilization: 2 weeks
Project Background and Objectives
Automate undesirable tasks to help prevent operator turnover.
Replace high-payload, repetitive work with robots to help prevent musculoskeletal injuries and workplace incidents.
Maximize efficiency in repetitive loading/unloading work using a vision system.
Components
| Robot | Doosan Robotics A0912 Payload: 9 kg Reach: 1,200 mm Pick-it L SD vision 3D camera Processor 3.0, cable set Set of three (3) region markers Robot calibration plate |
|---|---|
| Peripherals | PICKSYS frame Vacuum gripper Dedicated jig Harness OP switch |
Workflow
| STEP 1. | Steel plates are processed at the press line |
|---|---|
| STEP 2. | The 3D vision system detects each steel plate |
| STEP 3. | Detected plate data is transferred to the collaborative robot |
| STEP 4. | The cobot picks the steel plate using a vacuum gripper |
| STEP 5. | The vision system identifies the target placement position |
| STEP 6. | The cobot places the steel plate at the designated location. |
Features
3D vision enables recognition and handling of various workpiece geometries.
Collaborative robots enable safer and more efficient operation for operators.
3D vision supports optimized loading (space utilization) within a constrained container/bin space.
Results
| Key Benefits | Replaces manual labor for repetitive operations and enables 24/7 operation. |
|---|---|
| Client Feedback | By automating high-payload and repetitive processes with robots, operator turnover decreased. The customer also noted improved throughput and expressed high satisfaction. |

Unauthorized copying or reproduction of any content on Marosol may violate the Unfair Competition Prevention Act and Copyright Act.
Recommended Solution
Metal Machining Machine Tending for Three WIA MCTs using Yaskawa Robots
This machine tending automation solution utilizes a YASKAWA industrial robot to automate the loading and unloading of metal workpieces for three WIA MCT (F410D) units. In the traditional process, operators had to stand by the machines constantly to manually feed workpieces. By delegating the loading and unloading tasks to the robot, operators can now focus on overall equipment management and system operation, significantly increasing operational efficiency. Furthermore, by having a single robot service three machining centers, productivity is maximized across the entire production cell.
Order Picking using Yaskawa and Mech-Mind
This logistics automation solution utilizes Mech-Mind 3D Vision and the Yaskawa GP8 robot to automate the order picking of various unstructured objects. By leveraging a highly cost-effective 3D vision system that recognizes both the position and shape of products, the system can perform picking tasks without additional manual teaching—even when new products are added or existing ones are changed. The project was specifically designed to automate the picking of irregular items in logistics center picking zones.
Defect Inspection of Cutting Tools using Doosan Cobots and Keyence Equipment
This vision inspection solution utilizes the Doosan M0609 collaborative robot and the Keyence Image Dimension Measurement System (IM Series) to automate the dimensional inspection and defect sorting of cutting tools. Previously, operators had to manually measure each part and perform visual inspections, which often led to human error in sorting and required a high amount of labor for simple, repetitive tasks. By implementing robot automation, inspections are now performed continuously without idle time. This has increased the precision of defect detection, simultaneously improving both productivity and product quality.










