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Hardware

AGILOX OCF

The AGILOX OCF is an AI-based Autonomous Mobile Robot (AMR) for transporting heavy loads on open or closed pallets. The robot can be commissioned and deployed for process applications in production facilities and distribution centers within just a few hours. The AGILOX OCF is available in various lifting capacities, fork lengths, and lift heights.

5.01 reviewFew reviews so far
AGILOX OCF

Overview

The AGILOX OCF is an AI-based Autonomous Mobile Robot (AMR) for pallet transport. The robot can be commissioned and deployed for process applications in production facilities and distribution centers within just a few hours. The AGILOX OCF is an omnidirectional counterbalanced AMR for floor-to-station operations, lifting and transporting heavy loads on open or closed pallets through narrow aisles. Various lifting capacities, fork lengths, and lift heights enable a wide range of application scenarios. DIMENSIONS (L x W x H): 2,784 x 1,200 x 2,566 MM UNLADEN WEIGHT: 3,600 KG MAX. LOAD: 1,500 KG MAX. LIFT HEIGHT: 1,600 MM MAX. STATION HEIGHT (EPAL): 1,450 MM TURNING RADIUS: 3,500 MM MIN. AISLE WIDTH: 2,100 MM MIN. PASSING WIDTH: 1,700 MM CHARGING TIME: 3 minutes charging = 1 hour of operation

Screenshots & videos

Key facts

Facts & Figures

Number of devices in operation
1600 Devices
Soft Facts
24/7 Support, CE Certification, Direct Sales, Partner Sales

Features

Market segment
Enterprise, Small business, Mid-market
Navigation technology
Laser / LiDAR (SLAM)
Temperature range
Ambient (+14 °C to +21 °C)

Payment models

Pricing model
Leasing, Miete, Pay-Per-Use, Kauf / Einmalzahlung

Features

Max. load capacity per loading unit
1500 Kilogram

How users rate AGILOX OCF

100 % of reviewers would recommend this solution (counts reviews that scored the recommendation question 4 or 5 out of 5; 1 to 3 counts as no recommendation).

100%
Leistung
Use case average: 98%
Excellent
100%
Zuverlässigkeit
Use case average: 95%
Excellent
100%
Wartungsaufwand
Use case average: 92%
Excellent
100%
Recommendation
Use case average: 98%
Excellent
How we calculate the even ScoreFew reviews so far

The even Score (0 to 100) sets the order of solutions. It is based only on published reviews:

  • 85% quality: the average of performance, reliability and maintenance effort per review.
  • Recency: newer reviews count more. After two years, a review counts only half as much.
  • Smoothing: with few reviews, the value is pulled towards a fixed middle value of 3.5 stars, as if three reviews with 3.5 stars were added. So only solutions with several good and recent reviews reach a high score.
  • 15% recommendation: the share of reviewers who would recommend the solution (4 or 5 out of 5).
  • The even Score is shown from 3 reviews. Below that you see stars and the number of reviews, and the solution is listed after all with a visible score. On a tie, the number of reviews decides.

None of this can be bought: plans, advertising and co-marketing play no part.

AI summary

What users say about AGILOX OCF

Based on 1 review

The Solution "AGILOX OCF" receives an overall Review score of 5/5, based on a single Review. Performance, reliability, and maintenance effort are also rated 5/5. These scores are in line with the category averages, which likewise stand at 5/5 for performance and reliability, while maintenance effort is slightly lower at 4.8/5. The Review highlights the flexibility and ease of integration of the Solution. Particularly appreciated are the intelligent navigation and the ability to make adjustments independently. Reliability is strongly dependent on environmental conditions such as clear travel paths and stable Wi-Fi coverage. An additional suggestion for improvement concerns the automatic detection of load carriers. The NPS score of 100 indicates a high level of customer satisfaction.

All reviews1

1 review
5.0
Reviewed on 28/07/2025
V
Volker Rankl
Verified reviewer
Head of Logistics
LINHARDT Viechtach GmbH & Co.KG
Manufacturing250+ employees

„Automation that delivers: AGILOX ONE in practice“

In which area do you use the solution, and what problem does it solve for you?

The AGILOX OCF is deployed in our logistics area, where it handles standardized transport tasks. For example, it retrieves pallets directly from the automated packaging line and places them at defined transfer locations in the finished goods warehouse – including automatic confirmation to the SAP system.

What is your overall impression of the solution?

AGILOX OCF has significantly optimized our intralogistics. The solution impresses with its flexibility, reliability, and ease of integration. Particularly noteworthy are the intelligent navigation and the ability to make adjustments independently – a clear added value for efficiency and process reliability.

What specific benefits does the solution offer for your processes, and how do they contribute to improving operations?

Flexible & agile – even despite its dimensions. Navigation without structural modifications. Workflows can be easily integrated, scaled, and adapted. Map updates are performed autonomously. New transfer and pickup points can be created or modified directly by the user in the system.

What challenges do you see regarding hardware reliability?

Reliability requires clear framework conditions: travel paths must be clear and intact, and stable Wi-Fi coverage is essential. Disruptions in these areas directly impact vehicle performance and navigation.

What additional features or functions would you like to see in the solution?

Automatic detection of load carriers within defined areas, followed by the independent creation of corresponding pickup locations.

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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 communication and coordination with one another — 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 across the entire system.