Curious about the robots deployed?
Process Overview
This implementation case demonstrates the advancement of automated product picking and storage operations using 'Vulcan' robots introduced in an Amazon Logistics warehouse.
Amazon introduced tactile-based robots to simultaneously ensure efficiency and precision in repetitive and intricate storage tasks.
Vulcan utilizes AI and tactile sensor-based grippers that operate like human hands to automatically store products by adjusting pressure based on weight or material and efficiently utilizing space. This has further expanded the accuracy and scope of Amazon's Logistics automation.
Project Background and Purpose
While existing Logistics robot systems (G2P method) succeeded in automating tasks such as moving shelves, the task of organizing products on shelves still relied on manual labor.
Amazon developed and introduced Vulcan robots to reduce this repetitive work and implement advanced automation that considers space utilization and worker safety.
This project aims for the following:
Automation and advancement of product storage
Improvement in work precision through the application of cognitive-based robot technology
Ensuring worker safety and reducing musculoskeletal strain
Components
| Robot | UR Collaborative(Vulcan): Equipped with a gripper featuring tactile sensors, capable of detecting and storing delicate objects like a human. |
|---|---|
| Peripherals | AI Storage System: Calculates optimal space layout to efficiently stack items like Tetris; Pressure/Torque Sensor: Adjusts pressure based on the material and shape of the items; Logistics Automation Integration Platform: Integrated operation with existing Kiva systems and Sparrow. |
Workflow
| STEP 1. | AI system searches for and calculates storage space |
|---|---|
| STEP 2. | Vulcan detects items via cameras and sensors |
| STEP 3. | utilizes pressure and torque sensors to pick up items with appropriate force |
| STEP 4. | places and stores items in the optimal location |
| STEP 5. | automatically switches to the next item to be stored. |
※ 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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Process Overview
This implementation case demonstrates the advancement of automated product picking and storage operations using 'Vulcan' robots introduced in an Amazon Logistics warehouse.
Amazon introduced tactile-based robots to simultaneously ensure efficiency and precision in repetitive and intricate storage tasks.
Vulcan utilizes AI and tactile sensor-based grippers that operate like human hands to automatically store products by adjusting pressure based on weight or material and efficiently utilizing space. This has further expanded the accuracy and scope of Amazon's Logistics automation.
Project Background and Purpose
While existing Logistics robot systems (G2P method) succeeded in automating tasks such as moving shelves, the task of organizing products on shelves still relied on manual labor.
Amazon developed and introduced Vulcan robots to reduce this repetitive work and implement advanced automation that considers space utilization and worker safety.
This project aims for the following:
Automation and advancement of product storage
Improvement in work precision through the application of cognitive-based robot technology
Ensuring worker safety and reducing musculoskeletal strain
Components
| Robot | UR Collaborative(Vulcan): Equipped with a gripper featuring tactile sensors, capable of detecting and storing delicate objects like a human. |
|---|---|
| Peripherals | AI Storage System: Calculates optimal space layout to efficiently stack items like Tetris; Pressure/Torque Sensor: Adjusts pressure based on the material and shape of the items; Logistics Automation Integration Platform: Integrated operation with existing Kiva systems and Sparrow. |
Workflow
| STEP 1. | AI system searches for and calculates storage space |
|---|---|
| STEP 2. | Vulcan detects items via cameras and sensors |
| STEP 3. | utilizes pressure and torque sensors to pick up items with appropriate force |
| STEP 4. | places and stores items in the optimal location |
| STEP 5. | automatically switches to the next item to be stored. |
※ 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.
Curious about the robots deployed?
Related Use Cases
Heavy logistics automation success! Omron AMR automatically returns lead tabs 📦🤖
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