compAIR is an innovative hybrid robotics competition for high school students focusing on autonomous vehicle control and augmented reality.
Season One: 18th and 19th February 2022
The event has been be rescheduled to February
This season, the teams are tackling the challenge of autonomous logistics. Robots need to transport packages for Bmazon, move building materials to and from a construction site and empty a factory full of goods.
In this discipline, teams are on their own. The task ahead: Complete challenges to score as many points as possible within two minutes. Autonomous decision making, reproducability and consistency are of essence. Every strategy needs to be well balanced and thought out.
Ramping up to the event, the teams need to complete three coding challenges. For each challenge, points are awarded by the competition judges. Also, for each submission, feedback is given to the teams which helps the participants to improve their programming skills.
In this discipline, teams fight in a head-to-head double eliminiation tournament. Two robots start on the field, but only one will be victorious. Outmanouver the enemy, collect power-ups and fight for more points, until there is no time left. Nerveracking until the end.
Registration will open on 1st of September and close on 29th of October 2021. Following requirements must be met:
This voluntary workshop gives an overview of the competition and introduces the participants to the programming environment.
1. September 2021
Each Season a new Scenario and new challenges are developed. Scheduled release of this document allows for the same preparation time of every team.
3. December 2021
The first coding challenge must be uploaded until this date.
17. December 2021
The second coding challenge must be uploaded until this date.
4. February 2022
The third coding challenge must be uploaded until this date.
18. February 2022
The first competition day hosts the 'Seeding' discipline.
19. February 2022
The second day of the competition, Double Elimination and the grand finale are held. Do not miss this amazing event!
Laser sensors, orientation sensors and similar are all based on physical principles - using the right tools for the correct task is an important skill for life.
Modern technology relies heavily on software, now more than ever before, and autonomous robots are becoming more suffisticated every day. Especially robotics is a very interdisciplinary field, requiring skills from many areas of expertise.
The development of software is only have the deal, without robots to run it on, this would be pointless. From electrical to mechanical engineering and PCB development.
Mathematics is like a puzzle, one needs to think logically and solve a problem step-by-step, piece-by-piece.
Teaching future technologies in a practical way already today - that is our mission for compAIR. Combining edge technologies, interactive and modern educational approaches, and the thrill of an international robotics competition, it's not just the best who win, a participation is a knowledge gain for all.
The participating teams are accompanied and supported by compAIR mentors - in terms of organization and technical aspects. As part of the competition, a code review will be conducted. Here, the teams receive immediate feedback on their programming skills.
The finals compAIR will be held at AIRlab. This unique robotic lab at the HTBLuVA Wiener Neustadt offers the ideal place for innovative robotics due to its design and facilities. compAIR participants can use the AIRlab to develop and test their robots.
compAIR was created and is carried out by robo4you. robo4you can rely on more than 15 years of experience in robotics education. Teams supported by robo4you could achieve 11 world championship titles, 20 European championship titles and numerous special prizes in the last years.
compAIR will be live-streamed - interested parties worldwide can virtually participate at this unique robotics event. compAIR Season Zero which was held in April 2021 can already be impressively described with the following figures: