The future is autonomous

As a partner for every step on the way Autonomous Reply shapes software defined architectures and meaningful end-to-end systems

Before filling out the registration form, please read the Privacy notice pursuant to Article 13 of EU Regulation 2016/679

Invalid Input
Invalid Input
Invalid Input
Invalid Input
Invalid Input
Invalid Input
Invalid Input

Privacy


I declare that I have read and fully understood the Privacy Notice and I hereby express my consent to the processing of my personal data by Reply SpA for marketing purposes, in particular to receive promotional and commercial communications or information regarding company events or webinars, using automated contact means (e.g. SMS, MMS, fax, email and web applications) or traditional methods (e.g. phone calls and paper mail).

Autonomous Reply

Autonomous Reply is partner for the software and system integration of Autonomous Things (AuT). The experts advise and support companies in the industrial, automotive and New Mobility sector, from sensor technology to infrastructure.

Autonomous Reply's services include consulting, software development and the integration of autonomous solutions. Including computer vision and deep learning the experts apply cutting-edge technologies and methods from the field of artificial intelligence (AI).

Including all facets of software development, Autonomous Reply has a special focus on the integration of subsystems and platforms. Classic software development, model-based software and ROS applications as well as edge computing are the core topics. In addition, the team works with the world's leading providers in the area of cloud infrastructure.

Autonomous Reply accompanies companies along the entire path to an autonomous future, from the idea to a proof of concept to series software. Depending on the use case, in software development Autonomous Reply uses classic methods and processes such as the V-Model or A-Spice as well as agile approaches. In this way, the experts support companies in defining the right requirements, building the corresponding software architecture and the final testing of the software code.

Jobs

WE ARE HIRING

We are always looking for enthusiasts who want to question the existing, try out new ideas and achieve exciting goals together.

BECOME A PART OF AUTONOMOUS REPLY

The Offering


Autonomous Reply develops embedded software in C/C++ for autonomous systems, with a special focus on real-time capability, maximum performance and optimal memory utilisation. For this purpose, various application frameworks and platforms are used. CODESYS is an example of an application implementation in an industrial environment, and AUTOSAR in the automotive sector.

For special subject areas such as navigation localisation solutions and deep learning approaches, the specialists use ROS/ROS2 and NVIDIA ISAAC. However, for this a powerful edge device is required.

Model-based function control
Autonomous Reply develops software and functions tailored to needs, requirements and available budget. With model-based function development, the developed software components can be tested on prototype ECUs at an early stage of development, which minimises time-to-market. Using automatic code generators such as TargetLink, the models developed in Matlab, Simulink and Stateflow can be generated as production code. This allows early verification through simulation and testing.

In addition, Autonomous Reply supports both the development-accompanying and the final virtual testing of the functions and algorithms. The portfolio ranges from initial model checks to MiL and SiL tests to embedding the software in virtual environments such as CarMaker with subsequent simulations and their evaluations.

In summary, the focus for rule algorithms is on the following topics:

  • Localisation (Indoor & Outdoor)
  • Longitudinal and transverse guidance
  • Path and trajectory planning
  • System status functions

Autonomous Reply develops innovative software solutions for autonomous systems with a focus on edge computing and software-defined systems in Python, Java C/C++. Especially in the areas of deep learning, navigation and localisation, where highly complex algorithms and powerful controllers with maximum performance are required, the experts rely on software frameworks such as ROS/ROS2 and NVIDIA ISAAC.

Another focus in this topic area is cloud application development, which is characterised by cloud-based software development and a direct connection to the edge device. By means of code creation and a CI/CD functionality for direct deployment on the edge device, the autonomous vehicle can be kept up-to-date via software updates. This creates a flexible balance between applications on the edge device and applications in the cloud, enabling high-performance hybrid solutions for HD Maps, navigation and fleet management, to name a few.


ROS applications
Autonomous Reply offers knowledge and expertise for the conception, design, implementation and support of customised solutions in the areas of perception, navigation, control and simulation.

NVIDIA ISAAC applications
In the field of NVIDIA's ISAAC robotics platform, Autonomous Reply provides all the steps in the development of a software application for autonomous things. This includes the integration of existing ISAAC components, for example for localisation and mapping (SLAM), trajectory planning or obstacle avoidance, as well as the development of new ISAAC components. Beyond this, the experts create new ISAAC sim scenarios and use them to realistically test use cases or to generate training data for Deep Learning based computer vision algorithms (for object classification, 2D/3D object detection or semantic segmentation).

The most important elements of autonomously moving things are object recognition and classification capabilities as well as tracking and prediction of the future pose/position of objects.

Autonomous Reply therefore offers a comprehensive service especially in the areas of computer vision and deep learning. This includes data identification and selection for a representative dataset, identification of a suitable architecture for and training of the neural network as well as optimisation of the models with regard to accuracy and inference times. Last but not least, Autonomous Reply also takes care of the integration of the elements on the target platform.

The experts develop and train efficient deep learning models for this implementation. In doing so, Autonomous Reply uses both native cloud services and its own neural networks. In addition, the experts also offer services in the field of deep learning, which are used for navigation, trajectories/path planning and motion prediction.

Autonomous Reply helps to concretise the challenges around the topic of Autonomous Things and to define the appropriate solution paths in order to achieve goals efficiently and precisely.

The team advises on the best possible end-to-end strategies for autonomous systems, starting with advice on system architecture, the selection of hardware and the appropriate communication channels. In a cross-functional team, Autonomous Reply develops the best possible solution for each application. The advisory services include:

  • Strategy Development
  • System Architecture Design
  • Process Advisory
  • Automotive Project Management
  • Project setup and Supervising
  • Exploration of HW & Sensorics for Autonomous Vehicles 

Robotics and Autonomous Things

Case Study

Automated 24/7 inspection of a solar park

Thanks to a drone solution from Autonomous Reply, the Neue Energie West solar park now benefits from efficient, AI-supported monitoring - completely autonomously and around the clock.

Automated 24/7 inspection of a solar park 0

17.04.2024 - 18.04.2024 / Wolfsburg

Event

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

Event

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

Event

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

Event

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

Event

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.

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.

Collision Detection

Case Study

REGENSBURG: COLLISION DETECTION IN A SMART CITY SYSTEM

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.

REGENSBURG COLLISION DETECTION IN A SMART CITY SYSTEM 0

18.07.2022 - 21.07.2022 / STUTTGART / ONLINE

Event

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.

14.09.2021

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.

Intelligence

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

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.

The next generation of drones in logistics 0

07.09.2021 - 12.09.2021 / München

Event

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.

AUTONOMOUS REPLY

GERMANY


Munich

Riesstraße 22,
80992 Munich, Germany
Tel: +49 (0) 89 411142 - 880


Gütersloh

Bartholomäusweg 26,
33334 Gütersloh, Germany
Tel: +49 (0) 5241 50 09 - 0