Process Overview
- This case study demonstrates an order picking system that optimizes the operation of ten Eugene Gocart 180s using Marosol's remote control system, SOLlink.
- With the self-developed SOLlink, multiple AMRs are clustered and controlled to maximize logistics system efficiency. The order picking system, integrated with WMS, allows for flexible handling during peak periods without the need for additional workers.
Warranty Period
- 1 Year
Performance Year
- 2023
Project Duration
- Need for consultation
Project Background and Objectives
- Improved workforce supply and employment stability through the introduction of logistics robots
- Introducing robots for high-intensity, repetitive tasks reduces the risk of musculoskeletal disorders and industrial accidents among workers
- Integrating WMS and order picking systems increases work efficiency and reduces error rates
Components
| Robot | Yujin Robot GoCart180 *10 |
|---|---|
| Peripherals | Integrated multi-robot system SOLlink
Upper module
Order picking cart
Middleware |
Workflow
| STEP 1. | A worker positions himself between the racks in the warehouse |
|---|---|
| STEP 2. | AMR loads the cart |
| STEP 3. | AMR passes the rack and stops at a designated location |
| STEP 4. | The worker loads items onto the cart |
| STEP 5. | When the cart is full, the AMR unloads the cart at a designated location. |
β» 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.
Recommended Use Cases
AMR logistics robots introduced to manufacturing factory β¨ Logistics automation that quickly resolves even 1 ton of waste drbris (2 KUKA KMP 1500P logistics robots)
Process Overview This case study demonstrates the installation of a KUKA KMP 1500P logistics robot at Bigwave Robotics (Marosol) to transport rollers and scrap debris within the space manufacturing facility. The KMP 1500P autonomously handles up to 1 ton of scrap debris over a 1.2 km distance and automatically transports heavy-duty roller modules weighing up to 1 ton. Furthermore, sensors embedded in the KMP 1500P enabled the development of an unmanned system capable of safely transporting heavy-duty materials. Project Background and Purpose Automated unmanned transport using autonomous robots Robots perform simple, repetitive tasks Safe operation of heavy-duty products using various sensors Remote control and monitoring using SOLlink
Heavy logistics automation success! Omron AMR automatically returns lead tabs π¦π€
Process Overview This case study demonstrates the automation of heavy-duty product transport using Omron AMR logistics robots . The client implemented a logistics automation system to reduce inefficiencies and labor burdens associated with repetitive, heavy logistics tasks. Specifically, they sought to reduce costs and maximize logistics efficiency through automated palletizing and return operations. This solution automates simple, repetitive tasks like product movement and loading, thereby increasing the efficiency and accuracy of the shipping process and reducing worker burden, thereby enhancing safety and productivity. Project Background and Objectives The client recognized the need for automation in heavy cart transport and lead tab return operations and sought to improve logistics operational efficiency and reduce operating costs by introducing AMRs. This project aimed to: Automating lead tab return and cart transport Improving worker productivity and ensuring safety Enhancing efficiency and flexibility in the logistics field
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Process Overview
- This case study demonstrates an order picking system that optimizes the operation of ten Eugene Gocart 180s using Marosol's remote control system, SOLlink.
- With the self-developed SOLlink, multiple AMRs are clustered and controlled to maximize logistics system efficiency. The order picking system, integrated with WMS, allows for flexible handling during peak periods without the need for additional workers.
Warranty Period
- 1 Year
Performance Year
- 2023
Project Duration
- Need for consultation
Project Background and Objectives
- Improved workforce supply and employment stability through the introduction of logistics robots
- Introducing robots for high-intensity, repetitive tasks reduces the risk of musculoskeletal disorders and industrial accidents among workers
- Integrating WMS and order picking systems increases work efficiency and reduces error rates
Components
| Robot | Yujin Robot GoCart180 *10 |
|---|---|
| Peripherals | Integrated multi-robot system SOLlink
Upper module
Order picking cart
Middleware |
Workflow
| STEP 1. | A worker positions himself between the racks in the warehouse |
|---|---|
| STEP 2. | AMR loads the cart |
| STEP 3. | AMR passes the rack and stops at a designated location |
| STEP 4. | The worker loads items onto the cart |
| STEP 5. | When the cart is full, the AMR unloads the cart at a designated location. |
β» 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.
Related Use Cases
AMR logistics robots introduced to manufacturing factory β¨ Logistics automation that quickly resolves even 1 ton of waste drbris (2 KUKA KMP 1500P logistics robots)
Heavy logistics automation success! Omron AMR automatically returns lead tabs π¦π€