"Exploring the Amazing EDAG CityBot: Revolutionizing Urban Mobility!"

𝐈𝐬 𝐭𝐡𝐢𝐬 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞? 🤖

EDAG CITYBOT – MOBILITY CONCEPT OF THE FUTURE
"Excuse me, may I introduce myself? I am the EDAG CityBot - the future of mobility and work in the smart city. I am a modular robot vehicle with swarm intelligence, capable of dealing with any mobility application in urban areas – from passenger transport and delivery trips through to services such as road cleaning. I have been programmed to be able to see and understand everything, and interact with my environment. I gather and learn from experience. My electric powertrain enables me to drive around in an eco-friendly way and autonomously."

Imagine what it would be like to live in a city characterized by urban residential, working and recreation oases. Where, at any time of the day, you can easily drive around without getting stuck in a traffic jam. Where smog and traffic noise have become things of the past. Do you think that there's no such thing, that it's just science fiction? You're mistaken. We will show you how our vision of the city of the future can become reality with our EDAG CityBot mobility concept. The CityBot is not a classic concept car, and does not belong to any particular vehicle type.

Cities of tomorrow will need efficient, environmentally friendly, and above all scalable mobility solutions. This is what motivates us to continue the development of the EDAG CityBot, a fully integrated mobility approach – electric, autonomous, modular. This concept unites state-of-the-art technologies from the fields of eMobility, alternative powertrains, artificial intelligence, autonomous driving, robot systems, trajectory planning, software development and digitalization.

OBJECT RECOGNITION
The advanced AI prototype of the EDAG CityBot offers numerous possible applications for smart cities. We demonstrate this with the example of a garbage collection and sorting function, by means of which it can help municipal vehicles with their service activities. It uses the images supplied by its avatar's head to recognize objects and tell them apart from the background.

ARTIFICIAL INTELLIGENCE
The object recognition function is implemented using artificial intelligence. For the AI competency, a neural network was developed and trained to perceive and recognize human actions. In this way, we ensure that the EDAG CityBot can differentiate between different objects and correctly classify them, and for example, pick up a bottle from the ground without confusing it with an object in a child's hand.

SELF-LOCALIZATION AND TRAJECTORY PLANNING
Self-localization – i.e. determination of the actual position in a given area – is a key function for highly automated and autonomous driving, and the basis for many subsequent functions such as trajectory planning - i.e. determination of the path taken by the EDAG CityBot from its starting point to its target. To ensure precise self-localization, our experts have developed software that achieves an accuracy of more than 50 mm.

CHASSIS AND POWERTRAIN
As there is no vehicle of this type on the market as yet, and it will need to be extremely agile for the city of the future, the EDAG CityBot has individual wheel steering. This makes 90° degree travel, diagonal travel and turning on the spot possible – so the EDAG CityBot has driving characteristics that no other vehicle has featured to date.

#ai #technology #innovation #robotics