Community Spotlight: Kirill Krinkin – STEM Intensive Learning Approach

In the world of engineering education, there are many excellent courses, but often the curriculum has one serious drawback – the lack of good connectivity between different topics. Over in Saint Petersburg, Russia, 
Kirill Krinkin from SPbETU and JetBrains Research has been using Duckietown to address this problem through an intensive STEM winter course.

STEM Intensive Learning Approach

by Kirill Krinkin

The first part of the school program was a week of classes in the base topic areas which were chosen to complement each other and help students see the connection between seemingly different things – mathematics, electronics and programming.

Of course, the main goal of the program was to give students the opportunity to put their new found knowledge into practice themselves.

Duckietown was the perfect fit for our course because it offered a hands-on learning experience for all of our main topics areas, and once we covered those subject in the first lessons, we challenged the students with much more complex tasks – in the form of projects – in the second half of the course. It made for an exciting and engaging curriculum because students could address a problem, write a program to solve it, and then immediately launch it on a real robot. 

The main advantage of Duckietown compared to many other platforms is that there is a very small learning curve: people who knew nothing about programming and robotics started working on projects after only a few days!

Overview of the course

Part 1 – Main Topic Areas

Subject 1: Linear Algebra

Students spent one day studying vectors and matrices, systems of linear equations, etc. Practical tasks were built in an interactive mode: the proposed tasks were solved individually, and the teacher and other students gave comments and tips.


Subject 2: Electricity and Simple Circuits

Students studied the basics of electrodynamics: voltage, current, resistance, Ohm’s law and Kirchhoff’s laws. Practical tasks were partially done in the electric circuits simulator or performed on the board, but more time was devoted to building real circuits, such as logic circuits, oscillatory circuits, etc.


Subject 3: Computer Architecture

In a sense, a bridge connecting physics and programming. Students studied the fundamental basis, the significance of which is more theoretical than practical. As a practice, students independently designed arithmetic-logic circuits in the simulator.


Subject 4: Programming

Python 2 was chosen as the programming language, as it is used in programming under ROS. After we taught the material and gave examples of solving problems, students were challenged with their own problems to solve, which we then evaluated. 


Subject 5: ROS

Here the students started programming robots. Throughout the school day, students sat at computers, running the program code that the teacher talked about. They were able to independently launch the basic units of ROS, and also get acquainted with the Duckietown project. At the end of this day, students were ready to begin the design part of the course – solving practical problems.

Part 2 – Projects

1. Calibration of colors

Duckiebots needs to calibrate the camera when lighting conditions change, so this project focussed on the task of automatic calibration. The problem is that color ranges are very sensitive to light. Participants implemented a utility that would highlight the desired colors on the frame (red, white and yellow) and build ranges for each of the colors in HSV format.

2. Duck Taxi

The idea of this project was that Duckiebot could stop near some object, pick it up and then continue along, following a certain route. Of course, a bright yellow Duckie was the chosen passenger. The participants divided this task into two: detection and movement along the graph.

drive while Duckie is not detected

Duckie identified as a yellow spot with an orange triangle 🙂

Building a route according to the road graph and destination point

3. Building a road map

The goal of this project was to build a road map without providing a priori environmental data for the Duckiebot, relying solely on camera data. Here’s the working scheme of the algorithm developed by the participants:

4. The patrol car

This project was invented by the students themselves. They offered to teach one Duckiebot, the “patrol”, to find, follow, and stop an “intruding” Duckiebot. The students used ArUco markers to identify the Intruder on the road as they are easy to work with and they allow you to determine the orientation and distance of the marker. Next, the team changed the state machine of the Patrol Duckiebot so that when approaching the stop-line the bot would continue through the intersection without stopping. Finally, the team was able to get the Patrol Duckiebot to stop the Intruder bot by connecting via SSH and turning it off. The algorithm of the patrol robot can be represented as the following scheme:


Students walked away from our STEM intensive learning program with the foundations of autonomous driving, from the theoretical math and physics behind the programming and circuitry to the complex challenges of navigating through a city. We were successful in remaining accessible to beginners in a particular area, but also providing materials for repetition and consolidation to experienced students. Duckietown is an excellent resource for bringing education to life.

After our course ended students were asked about their experience. 100% of them said that the program exceed their expectations. We can certainly say that the Duckietown platform played a pivotal role in our success.

AI-DO I Interactive Tutorials

The AI Driving Olympics, presented by the Duckietown Foundation with help from our partners and sponsors is now in full swing. Check out the leaderboard!

We now have templates for ROS, PyTorch, and TensorFlow, as well as an agnostic template.

We also have baseline implementation using the classical pipeline, imitation learning with data from both simulation and real Duckietown logs, and reinforcement learning.

We are excited to announce that we will be hosting a series of interactive tutorials for competitors to get started. These tutorials will be streamed live from our Facebook page.

See here for the full tutorial schedule.

Дакиботы готовы покорять мир!

Дорогие друзья Duckietown:

Мы с радостью стремимся поделиться чудесными новостями нашего проекта.

В последние годы мы получили огромную поддержку энтузистов со всего мира, которые приложили много времени и сил к росту проекта Duckietown, и он сильно вырос теперь.

Duckietown был основан а MIT в 2016 году — почти 2 года назад. В настоящий момент занятия на основе Duckietown проводятся в 10 странах и было обучено более 700 студентов.

Последние месяцы стали периодом трансформации для проекта, и мы готовы к следующему качественному скачку.

Фонд Duckietown

Мы основали фонд Duckietown, некоммерческую организацию, для того, чтобы координировать усилия в развитии проекта.

Наша миссия: заставить мир полюбить красоту, увлекательность, важность и сложность задач робототехники и искусственного интеллекта через процесс обучения, дающий полноценный осязаемый реальный опыт.

Фонд Duckietown будет работать как центральный орган по координации и развитию Duckietown. Как некоммерческая организация, мы принимаем пожертвования от организаций и частных лиц для продвижения образовательной и игровой робототехники во всем мире.

Подробнее: миссияоткрытые волонтерские позициикак нам помочь.



Мы запустили проект на Kickstarter для того чтобы помочь людям получить Duckiebots and Duckietowns (машинки – дакитботы и целые города)

Это решает проблему воспроизведения опыта Дакитаун по одному щелчку мыши, теперь довольно просто создать нужную инфраструктуру.

Кроме того, работа с тысячами единиц оборудования позволяет существенно снизить его стоимость и разработать свои собственные платы.

Подробнее: Kickstarter

Программа пожертвований

Мы стараемся сделать стоимость оборудования для обучения доступной, и в некоторых частях мира, цена, которую могут заплатить учащиеся равна $0.

Вот почему, мы запустили кампании пожертвований donate-a-Duckiebot и donate-a-class на Kickstarter.

Станьте другом движения Duckietown и поддержите распространение дешевого и игрового образования в большем количестве мест во всем мире, участвуя в нашей  Kickstarter кампании.

Детальнее о программе пожертвования можно узнать по сылке Donation program.

Новый сайт…

Мы разработали новый вебсайт, для того чтобы лучше поддержать пользователей платформы; теперь он включает форумы и более структурированные технические материалы

Подробнее: Новый форум.

Для доступа к новой документации перейдите на

… и более 700 новых сайтов

Мы хотим, чтобы люди делились своим опытом в проекте Duckietown с другими участниками движения, вне зависимости от того, насколько они далеки друг от друга.  Теперь возможно создать более 700 подсайтов и сообществ со своими форумами и блогами

Подробнее можно прочитать на странице  Запуск сайтов сообществ

Олимпиада по автономному движению под управлением искусственного интеллекта

Duckietown является не только образовательной платформой, но и полезным инструментом для исследований.

Мы рады объявить, что Duckietown  стал официальной платформой для проведения Олимпиады по автономному движению под управлением ИИ, соревнования по машинному обучению которое состоится в рамках ведущих конференций по машинному обучению и робототехнике NIPS 2018 и  ICRA 2019. Призываем подключиться к соревнованиям и опробовать свои решения.

Полную информацию об AI-DO можно найти на

На текущий момент это все! Спасибо что были с нами –

Проект Duckietown опирается на активное увлеченное сообщество, и мы хотим чтобы и вы были в это вовлечены.

 Для дополнительной информации, или если вы хотите нам помочь каким-то другим образом, перейдите на  эту страницу.

Олимпиада по автономному движению под управлением ИИ (AI Driving Olympics — AI-DO)


The Duckietown Foundation объявляет официальное открытие Олимпиады по автономному движению под управлением ИИ, новый тип соревнований в области автономных автомобилей под управлением искусственного интеллекта.

Первый тур олимпиады AI Driving Olympics 2018 пройдет в декабре 2018 года в рамках NIPS, передовой конференции по машинному обучению в Монреале. Первые соревнования состоятся с применением реальных роботов.

Второй тур AI-DO запланирован к проведению в Мае 2019 года в рамках Международной конференции по робототехнике и автоматизации — International Conference on Robotics and Automation (ICRA-2019) .

В соревнованиях будет использоваться платформа Duckietown, уменьшенная и доступная для самостоятельного изучения и программирования копия автономного автомобиля, снабженного визуальным сенсором (камерой). Этот проект с открытым исходным кодом был создан в MIT в 2016 и в настоящее время используется в большом количестве организаций и университетов для исследований.


Олимпиада по автономному движению под управлением искусственного интеллекта представлена совместной работой с 6 академическими организациями ETH Zurich (Switzerland), Université de Montréal (Canada), NCTU (Taiwan), TTIC (USA), Tsinghua (China) и Georgia Tech (USA), а также двумя представителями промышленности: nuTonomy and Amazon Web Services (AWS).

Конкурс будет состоять из 5 связанных задач с возрастающей сложностью:

  1. Следование по пустой дороге
  2. Следование по дороге с преградами
  3. Навигация между двумя точками по дорожной сети город.
  4. Навигация между двумя точками по дорожной сети города при наличии других автомобилей
  5. Планирование совместного движения  полностью автономной группы автомобилей по требованию.

Участники получат доступ к симуляторам, логам, референсной реализации и, наконец, к реальной среде («Роботарии»), которая будет доступна для удаленного запуска алгоритмов. Лучшие результаты полученные в Роботарии будут допущены для запуска в реальном физическом окружении во время  NIPS 2018, для определения победителя.

Основная цель данного конкурса, направить научные исследования на сложное проблемы применения искусственного интеллекта такие как модульность обучения, обучение в симуляции и при развертывании. Конкурс также должен способствовать демократизации исследований в области искусственного интеллекта и робототехники предлагая общую инфраструктуру доступную любому желающему посредством удаленного доступа

Участники соревнований могут создать свои собственные дакиботы используя предоставленные инструкции для сборки, или приобрести их через кампанию  на kickstarter.

Правила и даты соревнований можно узнать по ссылке

Kicking off the Duckietown Donation program with Cali, Colombia

Our first donation of a class kit goes to Cali, Colombia.

We’ve reached our Kickstarter goal! 

This is great news because it means that we can kick off our donation program, with our first donation of a Class Kit, to students at the Universidad Autónoma de Occidente in Cali, Colombia.


Why a donation program?

Artificial Intelligence and Robotics are the sciences of the future, which is why we want everyone to have the chance to play and learn with Duckietown. While we design our robot platform to be as inexpensive as possible, we realize that cost might be an obstacle for educators or students with limited resources.

That is why we have designed a donation program where individuals, organizations or companies can make Duckietown truly accessible to all. Everybody can support STEM education by donating Duckiebots, or an entire Class Kit, to deserving individuals or educators. 

Our first recipient

Our first recipient is Prof. Victor Romero Cano, a professor from the Universidad Autónoma de Occidente in Cali, Colombia. 

Victor has a Ph.D. in field robotics obtained at the University of Sydney, Australia. He teaches two courses at his institution,  and supervises over 40 undergraduate students who are working towards their final research projects.



Victor will teach two classes using the Duckietown platform. The first is an introductory class to robotics, covering kinematic analysis, teleoperation, control and autonomous navigation for wheeled robots. The second class is more specifically about robotic perception, and will go in detail about mapping and SLAM (simultaneous localization and mapping), covering lane detection as well as object detection, recognition and tracking.


Victor’s first Duckietown class starts in January 2019. We welcome him to the community and look forward to hearing about his journey!

You can help us sponsor more donations by sponsoring our Kickstarter.

Duckietown in Ghana – Teaching robotics to brilliant students

July 2018: Vincent Mai travels from Canada to teach a 2-week Duckietown class to some of the brightest high school students in Ghana.

You can help the Duckietown Foundation fund similar experiences by making a donation!

The email – Montreal, January 2018

On the morning of January 29th, 2018, I received an email. It was a call for international researchers to mentor for two weeks a small group of teenagers that will have been selected among the brightest of Ghana. Robotics was one of the possible topics.

At 4 pm, I had applied.

I was lucky enough to grow up in a part of the world where sciences are available to children. I spent summers in Polytechnique Montreal, playing with electro-magnets and making rockets fly with vinegar and baking soda. I also remember visiting the MIT Museum in Boston, where I was impressed by the bio-inspired swimming robots. There is no doubt that these activities encouraged 17-years-old me to choose physics engineering as my bachelor studies, which then turned into robotics at the graduate level.

The MISE Foundation

The call from the MISE Foundation was a triple opportunity.

First, I could transmit the passion I was given when I was their age. Second, I would participate, in my small, modest way, in the reduction of education inequalities between developing an developed countries. Countries like Ghana can only benefit from brilliant Ghanaians considering maths, computer science or robotics as a career.

Finally, it was an unique opportunity for me to discover and learn, from people living in an environment that is totally different from mine, with other values, objectives and challenges. It is not everyday you can spend two weeks in Ghana.

After some exchanges with Joel, the organizer, with motivation letters, project plan and visa paperwork, it was decided: I was going to Accra from July 20th to August 6th.

The preparation – Montreal, June 2018

My specialty is working with autonomous mobile robots: this is what I wanted to teach. I was going to see the brightest young minds of a whole country. I needed to challenge them: I could not go there with a drag-and-drop programmed Lego.

I chose an option that was close to me. Duckietown is a project-based graduate course given at Université de Montréal by my PhD supervisor, Prof. Liam Paull. It allows students to learn the challenges of autonomous vehicles by having miniature cars run in a controlled environment. A Duckiebot is a simple 2-wheel car commanded by a Raspberry Pi. Its only sensor is a camera.

Along with my proximity with Duckietown, I chose it because making a Duckiebot drive autonomously is a very concrete problem, which involves a lot of interesting concepts: computer vision, localization, control, and integration of all these on a controller. Also, for teenagers, the Duckie is a great mascot.

I had not yet taken the Duckietown course. Preparing took me one month and a half of installing, reverse engineering, and documenting. The objective I designed for the kids? Having a Duckiebot named Moose follow the lanes with a constant speed, without getting out of the road or crossing the middle line.

It was inspired from a demo that was already implemented in the Duckiebot. I could not ask the kids to implement the whole code, so I cut out only the most critical parts of it. I also wrote presentations, exercises, planning each of the 10 days we would spend together, 6 hours a day. I packed the sport mats to do the road, a couple of extra pieces in case something broke, and the print-outs of the presentations. I was ready.

Packed Duckietown

Or, I hoped I was. It was not simple to adapt the contents of a graduate course for kids of whom I had no idea of the math and programming level. Did they know how to multiply matrices? What about Bayes law? Can I ask them to use Numpy? When I asked advice to Liam, he told me with a smile: “I guess you’ll have to take the go with the flow…”

The building – Accra, August 2018

Accra is a large city, spread along the shore of the Atlantic Ocean. Its people are particularly smiling and welcoming. The Lincoln Community School, a private institution hosting the MISE Foundation summer school, has beautiful and calm facilities which allowed us to give the classes in a proper environment. There were 24 children in total: 12 were training for the International Maths Olympics with two mentors, while three teams of 4 students would work with a mentor on projects like mine. The two other projects were adversarial attacks on image classifiers and stereo vision.

The first two days, we did maths. I tested their level: they did not know most of what was necessary to go on. Vector operations, integrals, probabilities… We went through these in a very short time: they amazed me by the speed at which they understood.

For the next five days, we went through the project setup. We started simple, understanding how we can drive the Duckiebot with a joystick. We had to setup Moose, discover ROS, and use it to send commands to the motors.

We followed with the real project: autonomous mobile robotics.

  • See-Think-Act cycle;

  • computer vision for line extraction, from RGB images to Canny edge detection and Hough transform;

  • camera calibration for ground projection, from image sensors to homography matrix;

  • Bayesian estimator for localization, with dynamic prediction and measurement update;

  • and finally, proportional control for outputting the right commands to the wheels.

Building Moose

Moose the Duckiebot, up and running!

For each of these steps, the students wrote their version of the code. Then, we made a final version together that we implemented in Moose.

The experiments – Accra, August 2018

In the two next days, the students had to think what they would do for their research projects. The experiments would be done together but the projects should be individual. Each of them decided to focus on one aspect of autonomous cars. Kwadwo decided to go for speed: he tested the limits of the car as if it was an autonomous ambulance. Abrahim was more concerned about safety: was Moose better than humans at driving? Oheneba thought about the reduction glasshouse gas emissions and William about lowering the traffic. In both cases, they argued that if autonomous cars could improve the situation, they first had to be accepted by humans and therefore be safe and reliable. They tested Moose in differently lit scenes, with white sheets on the road (snow) or with a slightly wrong wheel calibration, to see how it would cope with these conditions.

On the last day, they individually presented their research to a committee formed by the three project mentors. We asked them difficult questions for 15 minutes, testing them and pushing them to think above what they had learned in these 2 weeks. We judged them based on the Intel ISEF criteria (Research project, Methodology, Execution, Creativity and Presentation).

Presenting in front of the judging committee

The closing ceremony – Accra, August 2018

Saturday was parents day. The students made a general presentation of their projects, making the parents laugh uneasily every time they asked “Is everything clear?” At least, I think most of the parents enjoyed the demonstration: it is always nice to see a Duckiebot run!

Finally, at the closing ceremony, the students who had the best presentation grades were rewarded. I was proud that Kwadwo was named Scholar of the Year, winning a Mobile Robotics book and the right to represent Ghana at the Intel ISEF conference in Phoenix, Arizona, in May 2019. He will present his project with the Duckiebot!

The students and organizers also gave each of us a beautiful gift: a honorary scarf on which it is written “Ayeekoo”. In the local languages, it means: “Job well done.”

I hope I did my job well, and that William, Oheneba, Kwadwo and Abrahim will remember Moose the Duckiebot when they choose their careers. I know that, in any case, these four brilliant young men will continue to shine. On my side, I really enjoyed the experience. I will make sure I don’t miss an opportunity to teach again to teenagers using Duckietown, whether it is in another country or here, in Montreal.

The best team!

Important note

I had four boys in my group. You can notice on the picture below that, out of the 24 students, only 3 girls participated in the MISE Foundation program. When I asked Joel about it, he told me he has a very difficult time getting women to participate. At least 6 more girls were invited, but their parents would pressure them not to do maths and science, and discourage them from going to the Summer School. They feel this is not what a woman should be doing. I find this situation very frustrating. Ghana is a country with strong family values that are different from the ones I am used to. It is not our role as international researchers to tell them what is good and what is not. And, to be fair, software engineering presents similar ratios in Canada, even if the reasons are less tangible (maybe?).

On the other hand, engineers and scientists build the world around us, and they do so according to the needs they feel. Men cannot build everything women need. I strongly encourage any girl, in any country, who reads this blog post and who is interested about maths and computer science, to stand for what they want to do. We need you here, to build tomorrow’s world together.

MISE 2018 – Ayeekoo!

You can help the Duckietown Foundation fund similar experiences in Africa and elsewhere in the world by reaching out and donating.

Tell us your story

Are you an instructor, learner, researcher or professional with a Duckietown story to tell? Reach out to us!

Anunciando las Olimpiadas AI Driving (AI-DO)

Nota de prensa

La Fundación Duckietown está emocionada en anunciar la apertura oficial de las Olimpiadas AI Driving (AI Driving Olympics, AI-DO), una nueva competencia enfocada en inteligencia artificial (IA) para vehículos autónomos.

La primera edición de las Olimpiadas AI Driving 2018 tendrá lugar en Montréal en Diciembre 2018 en NIPS, una de las conferencias de aprendizaje automático más importantes del mundo. Esta es la primera competencia que se realiza en una conferencia de aprendizaje automático con robots reales.

La segunda edición de AI-DO está agendada para Mayo 2019 en conjunto a la International Conference on Robotics and Automation (ICRA) 2019.

La competencia usará la plataforma Duckietown, una plataforma de vehículos autónomos simplificada, accesible y económica, basada en visión por computador, utilizada para investigación y educación en autonomía. Este proyecto de código abierto (open-source) se originó en MIT el 2016 y ahora es utilizado por diversas instituciones en todo el mundo.

Las Olimpiadas AI Driving son presentadas en colaboración con 6 instituciones académicas: ETH Zurich (Suiza), Université de Montréal (Canadá), NCTU (Taiwan), TTIC (USA), Tsinghua (China) y Georgia Tech (USA), además de dos compañías co-organizadoras: nuTonomy y Amazon Web Services (AWS).

La competencia contempla 5 desafíos de complejidad ascendente: 1) Seguimiento de caminos sin obstáculos; 2) Seguimiento de caminos con obstáculos; 3) Navegación punto-a-punto en una red de ciudades; 4) Navegación punto-a-punto en una red de ciudades con otros vehículos; 5) Planificación de flotas de un sistema bajo demanda, completamente autónomo.

Los competidores tendrán acceso a simuladores, registros (logs) de datos, implementaciones referenciales y, finalmente, entornos reales (“Robotariums“) que serán accesibles remotamente para las evaluaciones. Los candidatos que obtengan mejores resultados en los robotariums serán evaluados durante un evento en vivo en NIPS 2018 para determinar los/as ganadores/as.

Los objetivos de la competencia apuntan a dirigir la investigación académica hacia los problemas más complejos de “encarnar” la inteligencia artificial, tales como la modularidad de los procesos de aprendizaje, como también el problema de aprender en simulación y probar los sistemas en la realidad. La competencia también promueve la democratización de la inteligencia artificial y la robótica, ofreciendo una infraestructura común disponible para todos a través del uso de instalaciones remotas para experimentar.

Los competidores también pueden construir sus propios Duckiebots mediante las instrucciones DIY (“hazlo tú mismo”) disponibles, o comprando Duckiebots y hardware de Duckietown a través de nuestra campaña kickstarter.

Para ver las reglas y plazos, revisa el sitio



Die Duckietown Foundation freut sich, die offizielle Eröffnung der AI-Fahrolympiade, bekannt zu geben, einem neuen Wettbewerb rund um die KI für selbstfahrende Autos.

Die erste Ausgabe der AI Driving Olympics 2018 findet im Dezember 2018 auf der NIPS, der ersten Konferenz für Machine Learning, in Montréal statt. Dies ist der erste Wettbewerb, der auf einer Machine Learning mit echten Robotern stattfindet.

Die zweite Ausgabe der AI-DO findet bereits im Mai 2019 im Rahmen der International Conference on Robotics and Automation (ICRA) 2019 statt.

Der Wettbewerb wird die Duckietown-Plattform nutzen, eine skalierte, erschwingliche und zugängliche, auf Visionen basierende, selbstfahrende Autoplattform, die für autonome Bildung und Forschung genutzt wird. Dieses Open-Source-Projekt entstand 2016 am MIT und wird heute von vielen Institutionen weltweit genutzt.

Die AI Driving Olympics wird in Zusammenarbeit mit 6 akademischen Institutionen präsentiert: ETH Zürich (Schweiz), Université de Montréal (Kanada), NCTU (Taiwan), TTIC (USA), Tsinghua (China) und Georgia Tech (USA) sowie zwei Mitveranstalter der Branche: nuTonomy und Amazon Web Services (AWS).

Der Wettbewerb umfasst 5 Herausforderungen von zunehmender Komplexität: 1) Straßenverfolgung auf einer leeren Straße; 2) Straßenverfolgung mit Hindernissen; 3) Punkt-zu-Punkt-Navigation in einem Stadtnetz; 4) Punkt-zu-Punkt-Navigation in einem Stadtnetz mit anderen Fahrzeugen; und 5) Flottenplanung für ein vollständig autonomes Mobilitäts-on-Demand-System.

Die Teilnehmer haben Zugang zu Simulatoren, Protokollen, Referenzimplementierungen und schließlich zu realen Umgebungen (“Robotariums”), die für die Auswertung aus der Ferne zugänglich sind. Die Einsendungen, die in den Robotern am besten abschneiden, werden während des Live-Events auf der NIPS 2018 durchgeführt, um die Gewinner zu ermitteln.

Ziel des Wettbewerbs ist es, die akademische Forschung auf die harten Probleme der verkörperten AI, wie die Modularität von Lernprozessen und das Lernen in der Simulation bei gleichzeitiger Anwendung in der Realität, auszurichten. Der Wettbewerb fördert auch die Demokratisierung der AI/Robotik-Forschung, indem er eine gemeinsame Infrastruktur zur Verfügung stellt, die durch den Einsatz von Ferntesteinrichtungen allen zugänglich ist.

Die Teilnehmer können auch ihre eigenen Duckiebots mit Hilfe der mitgelieferten DIY-Anleitungen bauen oder Duckiebots und Duckietown-Hardware über eine Kickstarter-Kampagne kaufen.

Regeln und Zeitleiste finden Sie auf der Website

Die Duckiebots sind bereit, die Welt zu erobern!

Liebe Freunde von Duckietown:

Wir freuen uns darauf, Ihnen tolle Neuigkeiten über das Duckietown-Project präsentieren zu können.

In den letzten Jahren haben wir die Unterstützung von vielen begeisterten Menschen erhalten, die ihre Zeit und Mühe gespendet haben, um das Duckietown-Projekt wachsen zu lassen, und es ist gewachsen!

Duckietown begann 2016 am MIT – vor fast zwei Jahren. Heute werden Duckietown Kurse in 10 Ländern mit mehr als 700 Alumni unterrichtet.

Die letzten Monate waren eine transformative Zeit für das Projekt, da wir uns darauf vorbereiten, in Bezug auf Umfang und Reichweite auf die nächste Ebene zu springen.

Die Duckietown-Stiftung

Wir haben die Duckietown-Stiftung gegründet, eine gemeinnützige Einrichtung, die das Duckietown-Project leiten wird.

Unsere Mission: die Welt für die Schönheit, den Spass, die Bedeutung und die Herausforderungen der Robotik und der künstlichen Intelligenz begeistern, durch greifbare, zugängliche und integrative Lernerfahrungen.

Die Duckietown-Stiftung wird als Koordinationsstelle für die Entwicklung von Duckietown dienen. Als gemeinnütziger Verein kann die Stiftung Spenden von Einzelpersonen und Unternehmen zur Förderung von erschwinglichen und unterhaltsamen Robotik-Lernprogrammen weltweit entgegennehmen.

Siehe: Unsere Mission offene Stellen für Freiwillige, wie Sie uns helfen können.

Ein Kickstarter


Wir organisieren einen Kickstarter, um es den Leuten zu erleichtern, Duckiebots und Duckietowns zu bekommen.

Dies löst die größte Hürde bei der Reproduktion des Duckietown-Erlebnisses: das Fehlen einer Ein-Klick-Lösung zum Erwerb der Hardware.

Auch die Arbeit mit Tausenden von Teilen erlaubt es, den Preis zu senken und unsere eigenen Custom-Boards zu entwerfen.

Sehen Sie: Unser Kickstarter

Ein Spendenprogramm

Obwohl wir uns zum Ziel gesetzt haben, erschwingliche Hardware zu haben, ist der einzige realistische Preis in bestimmten Teilen der Welt $0.

Deshalb haben wir ein Donate-a-Duckiebot- und Donate-a-Class-Programm über den Kickstarter integriert.

Werden Sie ein Freund von Duckietown und unterstützen Sie die Verbreitung von kostengünstiger und spielerischer KI- und Robotik-Ausbildung an noch mehr Schulen auf der ganzen Welt, indem Sie unsere Kickstarter-Kampagne unterstützen.

Details zum Spenden und Empfangen finden Sie unter Spendenprogramm.

Eine neue Website…

Sehen Sie: Die neuen Foren.

Sehen Sie: Neue Seite “Duckumentation”

… und 700 weitere neue Webseiten

Wir möchten, dass die Menschen ihre Duckietown-Erfahrungen mit anderen Duckie-Enthusiasten teilen, egal ob sie in der Nähe sind oder nicht. Das ist jetzt möglich durch mehr als 700 “Community”-Unterseiten, jede mit einem Blog und einem Forum.

Weitere Informationen finden Sie auf den Websites der Post-Communities.

Die AI-Fahrolympiade

Neben seiner Rolle als Bildungsplattform ist Duckietown ein nützliches Forschungsinstrument.

Wir freuen uns bekannt zu geben, dass Duckietown die offizielle Plattform für die AI Driving Olympics ist, einen Wettbewerb für Machine Learning, der auf der NIPS 2018 und der ICRA 2019, den beiden größten Konferenzen für Machine Learning und Robotik der Welt, stattfinden wird. Wir fordern Sie heraus, Ihr Coding auf die Probe zu stellen und am Wettbewerb teilzunehmen.

Für alles über AI-DO, siehe

Das ist alles für den Moment! Danke fürs Zuhören –

Das Duckietown-Projekt setzt auf eine aktive und engagierte Gemeinschaft, deshalb möchten wir, dass Sie dabei bleiben! Unterstützen Sie die Robotik-Ausbildung und -Forschung – Melden Sie sich auf unserer Website an! Setzen Sie auf unseren Kickstarter! Nehmen Sie an den AI Driving Olympics teil!


Für weitere Informationen oder wenn Sie uns auf andere Weise helfen möchten, sehen Sie bitte hier nach, wie Sie uns helfen können.