Vulcan, the AI ​​Logistics responsible for 75% of Amazon's warehouses! 👏

Application > LogisticsSector > Logistics

#Amazon Robots# Collaborative# Vulcan# Picking Robots# Storage Automation# Robot Automation# Smart Logistics# Marosol

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.

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Features

Human-like tactile perception : Precise work is possible through tactile-based sensors, rather than simple visual recognition.
Optimizing space utilization : Implements 'Tetris-style' storage by calculating space with AI
Compatible with various items From soft T-shirts to heavy books, each is handled differently.
Enhancing worker safety : Robots perform tasks in hazardous locations to reduce the risk of injury

Results

Client Feedback	Amazon stated, “Vulcan is not simply a robot, but an evolution of automation based on perception and touch,” and assessed that “it reduces the burden on workers and enables more precise and flexible Logistics operations.”