”Autonomous driving in combination with digitalization is the great opportunity to effectively counter the traffic congestion.Johannes Barckmann, Head of Concept Cars EDAG Group
EDAG CITYBOT ROADMAP
Our plan for the future and the steps towards its realisation
WORLD PREMIERE OF EDAG CITYBOT AT THE IAA 2019 PRESS CONFERENCE
EDAG’s 18th concept car was presented to the public for the first time at 9.30 a.m. on 11 September as part of the IAA press conference. This time, however, it was not “just” a concept car, but a completely new mobility concept.
After the press spokesman Mr. Christoph Horvath raised the question, how a whole concept can fit under a sheet, this secret was revealed by the CEO Mr. Cosimo de Carlo. Then EDAG CityBot Concept & Product Owner Mr. Johannes Barckmann delivered the interesting technical facts about the EDAG CityBot and also had a surprise: EDAG CityBot wins the prestigious prize of the Automotive Brand Contest “Best of the Best” in the category “New Mobility”.
IMPRESSIONS OF THE EDAG BOOTH AT THE IAA 2019
Hier gibt’s was auf die Ohren: Unser Pressesprecher Christoph Horvath im Podcast von intellicar.de – live von der IAA 2019!
IOTA Untangled-Podcast Episode 17
Strong projects need strong partners. In order to make future mobility in cities sustainable, we work together with IOTA both in the EDAG CityBot environment and within the trive.park app.
In the Untangeld podcast, our mobility experts Alexander Sussemilch and Johannes Barckmann reveal more about the cooperation and joint implemented solutions.
EDAG TECH SUMMIT 2020
Insights into the further development of the AI – prototype of the EDAG CityBot
EDAG CITYBOT WEBINAR RECORDING
We presented and explained in detail the technical developments of the AI prototype in our public webinar on 10 November, 2020.
The recording of this webinar is available free of charge.
ACQUIRING AND LEARNING FROM EXPERIENCE:
THE EDAG CITYBOT SEES, UNDERSTANDS AND INTERACTS
Within the context of our EDAG CityBot mobility concept, our AI experts develop intelligent software for various functions.
See-understand-Interact: the EDAG CityBot is an innovative platform that combined various AI models and architectures.
The areas our teams focus on include neural networks in the fields of computer vision, text and speech processing, path planning, swarm intelligence and maintenance. Our competence, which is growing constantly, combines this entire technological know-how in our EDAG CityBot.
EDAG CITYBOT USE CASES
EDAG CityBot KI-Prototype in Aktion
Smart City: Sustainable Mobility
The EDAG CityBot in use at airports
The EDAG CityBot in logistics operations
THE EDAG CITYBOT AI-PROTYPE IN ACTION
The autonomously driving and working AI prototype demonstrates the technical feasibility of the EDAG CityBot mobility system on a real urban example: waste detection, collection and sorting.
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SMART CITY: SUSTAINABLE MOBILITY CONCEPTS THAT
FOCUS ON, DEVELOP AND IMPLEMENT THE SMART CITIZEN.
The cities of tomorrow need efficient, scalable and environmentally friendly mobility solutions. These have to meet the needs of urban development and increasing traffic volumes – but first and foremost of people and their needs.
Our smart city experts have accumulated decades of expertise in the industry and automotive sector, and have a great deal of know-how in in the handling of complex processes and the profitable use of large amounts of data. They are involved in the development of the latest technologies all around the world, and therefore able to provide city managers and local authorities with the very best advice. This knowledge also enriches the EDAG CityBot mobility & traffic concept.
In the development of mobility & digitalisation concepts and their implementation, our teams are working on:
- Mobility hubs for cities
- Smart people learning platforms & blended learning
- Automated driving events and their project support
- Intermodal transport advice and planning (e.g. for regional e-shuttle fleets)
- Traffic flow simulation and control
- Virtual and real test tracks for future mobility
THE EDAG CITYBOT IN USE AT AIRPORTS
On the airport apron, the EDAG CityBot impressively demonstrates its advantages and skills in the automation of precise logistics processes, and can take over a variety of tasks in this security area.
Outstanding features are maximum profitability and efficiency, on-time and on-target delivery of people, goods and services, perfect timing and real-time process tracking – and on top of this, an automated billing system and complete service integration in ONE software platform. It also helps to reduce accidents, errors and emissions
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THE EDAG CITYBOT IN LOGISTICS OPERATIONS
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Areas in which there is no mixed traffic and where high service requirements need to be handled efficiently: the EDAG CityBot might realistically be put to use in this type of scenario from 2025 onwards.
In highly automated warehouse and distribution centres, the EDAG CityBot is able to cover the entire logistics process – from registering the parcels by scanning them and taking them off the shelf, to picking different packages for a delivery and loading them into the truck. The same applies in reverse order, too, of course – from unloading the incoming deliveries to putting the goods into storage.
During the process, all data is collected in a software platform, permitting just-in-time execution of tasks and real-time data tracking. In this way, the EDAG CityBot guarantees barrier-free material flows including an accounting system, while reducing errors and accidents – and all of this without producing any emissions.
Thanks to its needs-based configuration with numerous rucksack and trailer modules, the EDAG CityBot is a flexible and scalable solution that can be in use 24/7 – for example as an indoor and outdoor cleaning device during “rest periods” from its logistics duties.
EXPERT TALKS & WHITE PAPERS
Here you will find all the presentations made by our experts on the development of the “EDAG CityBot” AI prototype in an attractive video format. In addition, you can find out more about the solutions and technologies we use in our corresponding white papers.