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Hardware

AGILOX ODM

The AGILOX ODM is an AI-based Autonomous Mobile Robot (AMR) for transporting dollies. Within just a few hours, the robot can be commissioned and deployed for process applications in production facilities and distribution centers. Various fork lengths enable a wide range of use cases. The AGILOX ODM was recognized as the best product of 2023 with the IFOY Award.

AGILOX ODM

Overview

The AGILOX ODM is an AI-based Autonomous Mobile Robot (AMR) for transporting dollies. Within just a few hours, the robot can be commissioned and deployed for process applications in production facilities and distribution centers. Various fork lengths enable a wide range of use cases. The AGILOX ODM was recognized as the best product of 2023 with the IFOY Award. LOAD CARRIER DOLLIES: 600 x 400 MM DIMENSIONS (L x W x H): 1,095 x 400 x 1,235 MM DEAD WEIGHT: 160 KG MAX. LOAD: 300 KG MAX. LIFTING HEIGHT: 250 MM TURNING RADIUS: 1,700 MM MIN. AISLE WIDTH: 1,000 MM MAX. SPEED: 1.4 m/s CHARGING TIME: 20–100% in approx. 11 min.

Screenshots & videos

Key facts

Features

Use case
Low lift
Charging options
Charging via sliding contacts
Market segment
Enterprise, Small business, Mid-market
Navigation technology
Contour navigation
Temperature range
Ambient (+14 °C to +21 °C)

Soft Facts

Soft Facts
24/7 Support, CE Certification, Direct Sales, Partner Sales

Payment models

Pricing model
Subscription, One-time payment, Leasing, Rental, Pay-Per-Use

Features

Number of devices in operation
1600 Geräte
Load capacity
300 Kilogramm

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Frequently asked questions

AGILOX X-SWARM TECHNOLOGY uses Artificial Intelligence (AI) to enable multiple autonomous robots to work together intelligently and in a decentralized manner. Through mutual communication and coordination — without central control — the robots can independently distribute tasks, navigate efficiently, and flexibly adapt to changes in the working environment. Using AI, the robots analyze their surroundings, optimize their routes, and avoid obstacles, while redistributing tasks in real time to prevent bottlenecks and maximize operations. This enables a scalable, flexible, and energy-efficient solution that dynamically adapts to new requirements and increases efficiency throughout the entire system.