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

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