17.04.2024 - 18.04.2024 / Wolfsburg


PartnerForum Volkswagen 2024

Reply has its own stand at this year's Volkswagen PartnerForum in Wolfsburg on April 17 and 18. Autonomous Reply, Concept Reply and Storm Reply present innovations with which Reply supports the Volkswagen Group.

28.02.2024 - 29.02.2024 / Berlin / Online


Reply at Bosch Connected World 2024

Join our experts at BCW 2024 in Berlin, Germany on February 28 and 29 to learn more about mobility, cloud, data, AI, security, and connected systems.

06.09.2023 - 10.09.2023 / Munich


Reply at IAA Mobility 2023

Reply presents their Generative AI Chatbot as well as innovations in the autonomous People Mover. Also, visit our presentation on Audi's Cloud Transformation together with Audi and AWS.

25.04.2023 - 27.04.2023 / STUTTGART


Autonomous Reply at Logimat 2023

LogiMAT 2023 takes place in Stuttgart from 25 - 27 April 2023. Visit Autonomous Reply at the joint booth with Cluster Reply & Logistics Reply in Hall 8 and find out how cutting-edge Artificial Intelligence (AI) technologies and methods are being used.

29.03.2023 - 30.03.2023 / MUNICH


IT Symposium 2023: Software-Driven Car

The IT symposium 2023 focuses on the topics of cyber security and software-driven cars. Join Spark Reply and Autonomous Reply for their speech on “A new architecture for Software Defined Vehicles for a better User Experience? Challenges and opportunities.” on 30 March 2023.

18.07.2022 - 21.07.2022 / STUTTGART / ONLINE


Digital Product Forum 2022

The Digital Product Forum, is the central information and interaction platform around the digitalization of development at Mercedes-Benz AG and its partners. Reply is present as an exhibitor both with a digital booth in the virtual world and in presence at the double booth 42.A. Online, the event will take place from July 18-21, on-site at the ICS Stuttgart from July 20-21, 2022.


Best Practice

EDGE AI: developments and applications

Executing ArtificiaI Intelligence and Machine Learning directly on Edge devices paves the way for a new era of Intelligent and Autonomous things. Reply has gained considerable experience and technical expertise in the Edge AI landscape through numerous projects, using Autonomous Mobile Robots and drones in various scenarios.

EDGE AI developments and applications 0


News & Communication

Reply Robotics Team wins Episode 1 of the SciRoc Challenge 2021

Reply faced the best European Robotics teams in the 2021 edition of the SciRoc Challenge and won the "Episode 01 - Deliver Coffee Shops Orders" with its Robotics Team. The team was able to demonstrate the potential and efficiency of the TIAGo Robot and Hey5 robotic hand.

Collision Detection

Case Study


Together with the City of Regenburg and the University of Regensburg, Autonomous Reply is designing a safe, smart city with autonomous vehicles. The aim is collision avoidance, by involving all road users in the interaction between autonomously driving things.

Software Development

Best Practice

Software Testing with simulations

In the development of autonomous driving vehicles, the topic of software is taking up more and more space. Autonomous Reply supports companies in developing safer systems with automated simulation methods in software testing, while saving time.

Path planning & Object recognition

Best Practice

The next generation of drones in logistics

Reference date, permanent and deferred inventory: In intralogistics, keeping track of inventory levels is a central issue – both for smooth supply chain processes and for annual balance sheets. Using automated position determining, path planning and object recognition Autonomous Reply is developing the next generation of drones to reduce the efforts.

07.09.2021 - 12.09.2021 / München


Autonomous Reply at IAA Mobility 2021

Autonomous Reply is represented from 07 to 12 September at the IAA Mobility 2021. The experts present "Collision Detection in Smart City Systems", a pilot project that combines computer vision and LIDAR, edge-to-cloud methods and deep learning. You can learn more about the modular object detection and accident avoidance system and about a future-proof software-defined architecture for the car of the future.


Best Practice


At the core of Reply’s strength matrix stands the integration of systems and the development and training of ML algorithms that can be deployed to the robots, to the Edge Cloud or to the central cloud and that give robots the autonomy needed to improve businesses.