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Track 2 of the Codeavour 5.0 International is a physical robotics competition where participants design and build robots to complete various object-placing missions in a cityscape, showcasing their AI, Robotics, and Machine Learning skills.
Showcase your expertise in robotics, machine learning, and intelligent systems as you shape the future of smart cities and redefine the possibilities of urban living.
Engage in a thrilling competition where robots powered by artificial intelligence navigate the cityscape, tackling real-world challenges and revolutionizing urban life. Your ideas have the power to transform the world! Participate in an exhilarating contest in which AI-driven robots traverse the urban landscape, surmounting practical obstacles and reshaping the way we experience city living.
Guided lessons and training material to learn programming in an interactive manner.
Explore the rules, regulations, and arena for a fair challenge Track 2- AI Robo City Challenge.
Elevate your AI, Coding, and Robotics skills and win prizes and international fellowships worth $45,000+ This is your chance to join the ranks of Tech Prodigies in Codeavour 5.0 International and capture top honors in the ultimate AI, Coding, and Robotics Showdown!
Ace your game strategy for AI-Robo City Challenge robotics with Codeavour’s Quarky Creator Kit, crafting high-performance robots. Practice and perfect your strategies in real-time with the Codeavour Arena Kit. Elevate your coding game and conquer competitions with confidence.
Registrations began on 27th October, 2023.
Master AI-ML, AR-VR, and robotics through interactive Bootcamps.
Assemble your Quarky and set the stage for innovation.
Show your skills and aim for the top!
Codeavour 5.0 participation fees is $25 USD (equivalent to 2000 INR for India) for participants and 300 AED (Registrations + Value Add Services) for UAE participants. Scholarships are available for underprivileged students; contact [email protected] or an authorized partner for details.
Welcome to the Arena View, a magical field where real-world challenges come into play! Imagine it’s a big playground for your brain. Here, you’ll brainstorm wild ideas, journey to new horizons, zigzag with creativity, and push beyond what you thought was possible. It’s like a fun game where you stretch your imagination, jump over hurdles, and bring your brightest ideas to light. So, tie up your thinking caps and dive into this challenging adventure.
The AI Robo City Challenge has 11 real-world challenges. The participants need to complete as many challenges in 5 minutes. They can plan their strategy and choose the order in which their robot will tackle these challenges.
Track 2 focuses on a sustainable smart city with real-world items like trees, bins, and solar panels. Program your robot to move 11 unique objects within the arena to the right locations. Methods include Pick, Grab, Push, and Pull.
(7 - 10yrs Old)
(11 - 14yrs Old)
(15 - 18yrs Old)
General Information
Before the Match:
Game Field:
The AI Robo City Challenge is a dynamic, hands-on robotics competition where participants employ Quarky to tackle challenges echoing the UN’s Sustainable Development Goals. There are 11 tasks to conquer within a set time frame. Get set, dive in, foster creativity, teamwork, and harness vital 21st-century skills.
The game field size is 93×45 Inches with a path size of 15cm and a width of the black line at 1.5 cm.
The organizing team will set up the camera on the competition arena, the camera will be placed at a distance of 23cm from the Arena for AI-based challenges (challenge 4 and 5).
There are 11 challenges, including tasks like water treatment plant completion, solar panel installation, and AI-powered residential waste collection, among others.
The robot size should be 20x20x20cm (LBH maximum) with a maximum weight of 1.0 kg.
Yes, teams can choose additional construction components such as Lego components, 3D printed parts, and more for their robot design.
For each foul, a negative five (-5) points will be deducted from the total score. Fouls include deviation from the designated path and team members touching the robot without instruction.
The mentor or coach’s responsibility is limited to mentorship and guidance; they should not be directly involved in making or controlling the robot. Direct involvement can lead to the disqualification of the team.
Challenges are scored based on specific criteria, including full points, half points, and zero points, depending on the placement of objects inside the designated area.
Yes, teams can switch their robot’s operational mode (autonomous or manual) using the Blue Card, granting flexibility in adapting to various challenges.
Yellow Cards exempt teams from negative scoring for specific fouls, Red Cards enable teleportation strategy, and Blue Cards allow switching between manual and autonomous mode.
Only team members are allowed near the competition (pit) area. mentors, coaches, teachers, parents, and guardians are not permitted inside the Pit area.
Teams are allowed for minor changes/fixes in the robot during their 5 minutes; no additional time will be given in case of technical issues.
Teams must adhere to participation and submission guidelines. These include uploading photos, videos, and comprehensive details about their robot on the Codeavour 5.0 submission platform.
Teams can unlock a Yellow Card by completing specific challenges (e.g., challenges 4, 5, and 6), which exempt them from negative scoring for particular fouls.
For each foul, a deduction of negative five (-5) points will be made from the total score.
The teams must use Quarky as the specified microcontroller; no other microcontroller is permitted.
The entire design of the robot must not have sharp edges that may harm the game field or people around it, and robot parts should not be made with hazardous materials.
Teams have only two chances to waive off negative scoring due to fouls using Yellow Cards, so they must use them judiciously.
The Pit Area is marked with yellow and black floor marking tape, providing a designated space for team activities and observations.
Participants can access training resources on the Codeavour 5.0 official website at this link: https://codeavour.org/learning-resource/
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