This application case features a smart logistics automation system for e-commerce, implemented using Studio 3S's TAGON Shelf Lifter AGV (Automated Guided Vehicle).
The TAGON Shelf Lifter AGV is optimized for logistics automation. It utilizes a GTP (Goods-to-Person) method, where the robot brings items to the worker instead of the person traveling to find them. This eliminates time spent searching for products, allows for efficient time management, and can achieve up to 9 times higher logistics throughput.
*GTP (Goods-to-Person): A system that eliminates the time picking personnel spend traveling through racks where inventory is stored.
Components
| Robot |
|
|---|
Workflow
| STEP 1. | [Picking Process] |
|---|---|
| STEP 2. | Order reception and input. |
| STEP 3. | AGV moves to the designated shelf. |
| STEP 4. | Picks up the shelf and moves to the picking station. |
| STEP 5. | Product is picked, and the AGV returns the shelf to its storage location. [Replenishment Process] |
| STEP 6. | Product replenishment request is received. |
| STEP 7. | AGV moves to the corresponding shelf. |
| STEP 8. | Picks up the shelf and moves to the replenishment station. |
| STEP 9. | Products are loaded, and the AGV returns the shelf to its storage location. |
※ 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
AI Vision Inspection System: FA VISION
This application case features the Magenta Robotics FA VISION, a system designed for parts tending and inspection. Traditional production lines often suffer from high claim rates due to damaged, missing, or incorrectly shipped items, as well as significant delays between assembly and final taping/packaging. FA VISION improves these inefficient systems by using AI to rapidly recognize the position and shape of objects, even measuring 3D coordinates and volume. This minimizes human error and optimizes the entire parts tending and inspection process.
The Omron AMR Logistics Robot Recognizes Different Product Types and Even Handle Automated Retrieval
Project Overview This implementation case is designed to utilize Omron AMR Logistics robots to automatically retrieve and transport individual products weighing approximately 20–30kg. Previously, workers had to manually move heavy items, leading to a high risk of musculoskeletal disorders and decreased logistics efficiency due to misclassification issues arising from repetitive manual labor. The Omron AMR was introduced to solve these problems and is configured to stably transport products of various sizes and shapes. The AMR's top module is equipped with photo sensors to detect the presence of products and includes a distance setting function to ensure the safe and smooth transport of goods. Project Background & Objectives The objective of this project is to reduce the physical burden on workers and improve the accuracy of logistics processes by minimizing misclassifications that occur during repetitive tasks. By introducing automation through AMRs, the primary goals of this project are: ① protecting the health and safety of workers, ② improving the accuracy and speed of logistics flow, and ③ optimizing initial investment costs while reducing maintenance expenses.
AI Navigation Solution: SEIRIOS
The AI navigation system SEIRIOS by MOVEL AI is a smart navigation solution that brings intelligence to robots. As a culmination of MOVEL AI's superior technology, SEIRIOS has already proven its outstanding performance through integration into various robots, such as UV disinfection robots and cleaning robots. Through AI technology, machine learning, vision, and sensor fusion, SEIRIOS enables robots to achieve human-like precision and movement. Furthermore, implementing SEIRIOS will save you valuable time and costs.
This application case features a smart logistics automation system for e-commerce, implemented using Studio 3S's TAGON Shelf Lifter AGV (Automated Guided Vehicle).
The TAGON Shelf Lifter AGV is optimized for logistics automation. It utilizes a GTP (Goods-to-Person) method, where the robot brings items to the worker instead of the person traveling to find them. This eliminates time spent searching for products, allows for efficient time management, and can achieve up to 9 times higher logistics throughput.
*GTP (Goods-to-Person): A system that eliminates the time picking personnel spend traveling through racks where inventory is stored.
Components
| Robot |
|
|---|
Workflow
| STEP 1. | [Picking Process] |
|---|---|
| STEP 2. | Order reception and input. |
| STEP 3. | AGV moves to the designated shelf. |
| STEP 4. | Picks up the shelf and moves to the picking station. |
| STEP 5. | Product is picked, and the AGV returns the shelf to its storage location. [Replenishment Process] |
| STEP 6. | Product replenishment request is received. |
| STEP 7. | AGV moves to the corresponding shelf. |
| STEP 8. | Picks up the shelf and moves to the replenishment station. |
| STEP 9. | Products are loaded, and the AGV returns the shelf to its storage location. |
※ 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.










