Process layout
This application case demonstrates a collaborative process between the Doosan Robotics M0609 and the Techman Robot TM5-900 to automate mobile phone box packaging.
By integrating a variety of specialized grippers, the system can seamlessly handle the diverse components required for mobile phone packaging—from delicate manuals to the handsets themselves.
Components
| Robot |
|
|---|
Workflow
| STEP 1. | Insertion of the user manual into the packaging box. |
|---|---|
| STEP 2. | Precise pickup and loading of the mobile phone handset. |
| STEP 3. | Final assembly of the box cover (lid) to complete the package. |
Features
Compact Installation and High Cost-Efficiency
Seamless Integration: Collaborative robots can be added to existing production lines without requiring significant layout changes or heavy safety fencing.
Minimized Investment: The compact footprint and simplified setup requirements drastically reduce initial installation and infrastructure costs.
Multi-Gripper Versatility: By utilizing a variety of specialized end-effectors, the system can handle multiple components—from thin manuals to delicate handsets—within a single cell.
Results
| Key Benefits | Significant reduction in manual labor requirements for repetitive packaging tasks.
|
|---|---|
| Client Feedback | By leveraging the integrated force/torque sensors, we were able to achieve precise assembly and compact installation without the need for complex and expensive alignment jigs. |
Unauthorized copying or reproduction of any content on Marosol may violate the Unfair Competition Prevention Act and Copyright Act.
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Process layout
This application case demonstrates a collaborative process between the Doosan Robotics M0609 and the Techman Robot TM5-900 to automate mobile phone box packaging.
By integrating a variety of specialized grippers, the system can seamlessly handle the diverse components required for mobile phone packaging—from delicate manuals to the handsets themselves.
Components
| Robot |
|
|---|
Workflow
| STEP 1. | Insertion of the user manual into the packaging box. |
|---|---|
| STEP 2. | Precise pickup and loading of the mobile phone handset. |
| STEP 3. | Final assembly of the box cover (lid) to complete the package. |
Features
Compact Installation and High Cost-Efficiency
Seamless Integration: Collaborative robots can be added to existing production lines without requiring significant layout changes or heavy safety fencing.
Minimized Investment: The compact footprint and simplified setup requirements drastically reduce initial installation and infrastructure costs.
Multi-Gripper Versatility: By utilizing a variety of specialized end-effectors, the system can handle multiple components—from thin manuals to delicate handsets—within a single cell.
Results
| Key Benefits | Significant reduction in manual labor requirements for repetitive packaging tasks.
|
|---|---|
| Client Feedback | By leveraging the integrated force/torque sensors, we were able to achieve precise assembly and compact installation without the need for complex and expensive alignment jigs. |
Unauthorized copying or reproduction of any content on Marosol may violate the Unfair Competition Prevention Act and Copyright Act.
Recommended Solution
Shape Recognition and Sorting Automation using Neuromeka Indy7 and IndyEye
This process is a demo for shape recognition and product sorting automation utilizing 2D vision and a deep learning algorithm (Instance Segmentation). Because it performs tasks by recognizing product positions and types in real-time using 2D vision, it can automatically recognize and work even if product positions or types change.
Removing Protective Sheets for Pharmaceutical Equipment using Zeus Robots
This application case features an automated process for removing protective sheets from pharmaceutical equipment using Zeus ZERO industrial robots. By integrating various automation technologies including robotics, this solution is designed for diverse industries with rigorous quality standards, such as semiconductor and pharmaceutical production environments.
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This application case features the Magenta Robotics GT PAINTER–I performing painting processes. Dry powder coating typically takes place in harsh environments with high levels of fine dust. Due to repetitive tasks and the need to work on ceilings or high-altitude sections, it has long been a job avoided by human workers. The GT PAINTER–I automatically analyzes objects within these painting processes and selects the optimal motion for execution. This has enabled the improvement of workplace safety, increased productivity, and the achievement of uniform coating quality.