This automation solution combines logistics and sorting automation by utilizing Mech-Mind 3D Vision and the Yaskawa GP8 robot to classify and transfer a diverse range of unstructured objects.
By leveraging a highly cost-effective 3D vision system to recognize both the position and geometry of items, the robot can easily sort products even if their locations change or multiple types of objects are mixed together. This is the ideal solution for environments with diverse workpieces or for companies looking to automate manual tasks with minimal changes to their existing workspace.
The project was implemented to automate order picking in fulfillment centers and eliminate the manual labor required for sorting individual packaged goods. Furthermore, it aims to achieve high-efficiency sorting for unstructured and mixed-SKU inventory.
*Note: This content is based on a demo; actual deployment may require additional equipment based on specific customer requirements.
Components
| Robot |
|
|---|
Workflow
| STEP 1. | Recognition: The system identifies and classifies individual products within an input bin containing a mixture of various items. |
|---|---|
| STEP 2. | Transfer: The robot picks the recognized item using a vacuum gripper and transfers it to the discharge bin. * The vision system dynamically recalculates the picking coordinates regardless of any changes in the input bin's position. |
※ The content provided by Bigwave Robotics is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.
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This automation solution combines logistics and sorting automation by utilizing Mech-Mind 3D Vision and the Yaskawa GP8 robot to classify and transfer a diverse range of unstructured objects.
By leveraging a highly cost-effective 3D vision system to recognize both the position and geometry of items, the robot can easily sort products even if their locations change or multiple types of objects are mixed together. This is the ideal solution for environments with diverse workpieces or for companies looking to automate manual tasks with minimal changes to their existing workspace.
The project was implemented to automate order picking in fulfillment centers and eliminate the manual labor required for sorting individual packaged goods. Furthermore, it aims to achieve high-efficiency sorting for unstructured and mixed-SKU inventory.
*Note: This content is based on a demo; actual deployment may require additional equipment based on specific customer requirements.
Components
| Robot |
|
|---|
Workflow
| STEP 1. | Recognition: The system identifies and classifies individual products within an input bin containing a mixture of various items. |
|---|---|
| STEP 2. | Transfer: The robot picks the recognized item using a vacuum gripper and transfers it to the discharge bin. * The vision system dynamically recalculates the picking coordinates regardless of any changes in the input bin's position. |
※ The content provided by Bigwave Robotics is protected under U.S. and Canadian copyright and intellectual property laws. Unauthorized reproduction, distribution, or use of this content is strictly prohibited.