This solution makes it possible to centrally manage and remotely control drones and robots (AMRs) from different manufacturers, enabling fully automated data collection and analysis thanks to AI.
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live
Hannover Messe
Meet Reply at the Hannover Fair 2025, taking place from March 31 to April 4 in Hannover. Stop by booth D53 in hall 9 to explore how you can get maximum efficiency through a central platform for robot and IoT management.
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Hannover Messe
Info
March 31 - April 04, 2025
Hannover Messe, Hannover
German/English
Hannover Messe
Hannover Messe is the world's leading trade fair for industry and the most important international platform for all technologies related to industrial transformation. This year it will take place in Hanover from March 31 to April 4, 2025.
Speaker Sessions
Panel Talk: 31.03.2025, 15:05 – 15:30 h, Halle 9, Stand D53:
In the industrial metaverse, where digital innovation converges with the physical world, autonomous robotics are transforming operations in process plants. These advanced robots are crucial for maintaining plant uptime and extending equipment lifespan. Their extensive capabilities include data collection for enabling simulations, as well as cultivating Digital Twins, making them integral to the metaverse ecosystem.
Speaker:
Kai Uwe Ernst, Executive Partner, Reply
Axel Lorenz, CEO Process Automation, Siemens
Karl-Heinz Schmid, Global Account Manager – Strategic Partnership Siemens, NVIDIA
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Live Demo: Roboverse Reply Platform
The Roboverse Reply platform enables the centralized control and management of robots, IoT devices and drones from different manufacturers with a single tool. A standardized API enables the seamless integration of the platform into existing processes and an uncomplicated connection to existing Computerized Maintenance Management Systems (CMMS) and Enterprise Asset Management (EAM) systems such as SAP-EAM, Maximo or COMOS Mobile Worker.
The solution can be used in the cloud (e.g. Azure) or on prem in the infrastructure of the respective company and enables centrally managed role-based access via an Active Directory.
It is designed as a multi-user tool so that different groups within the company can work together without compromising data integrity in the individual departments. In combination with special encryption, this technology ensures secure communication between machines and systems. Various measures, such as the de-identification of individuals, enable GDPR-compliant operation through the Roboverse Reply platform.
Experience Roboverse Reply with the autonomous robot SPOT and Autonomus Reply with the DJ Drone live in action on site and see how easy it is to integrate different autonomous robots using the Roboverse Reply Platform.
Make an appointment here with the Reply experts at the stand and secure a free ticket for Hannover Messe 2025.
Further information about the Hannover Messe can be found here:
Roboverse Reply specializes in the integration scenarios around Robotics and Reality Capture with Mixed Reality, where Cloud or On-Premises Infrastructures require Enterprise-Ready solutions. Roboverse Reply solutions include AI Skills with sensor-based anomaly detection, Fleet Management for Internet of Robotic Things, Digital Twins and Business Logic to deliver end-to-end support for the customers. The Roboverse Reply platform enables Autonomous Preventive Inspection to prolong the lifespan of your infrastructures and interactive telepresence, crucial for Safety and Security purposes.
Within the Reply Group, Autonomous Reply is the specialised company for the software and system integration of autonomous things. The experts advise companies in the industrial, automotive and new mobility sectors from the sensor to the infrastructure. The portfolio includes holistic solutions across the entire value chain – from strategy definition and advice on application possibilities to design and implementation. The offer includes edge computing, embedded software, cloud services and integration into different eco-systems. State-of-the-art technologies and methods from the fields of deep learning, machine learning and computer vision are used.