This challenge, focused on the practical applications of Artificial Intelligence and Machine Learning in solving robotics problems, aims to provide hands-on training in key concepts of AI and robotics within a competitive and team-based environment, held alongside the Second International Conference on Artificial Intelligence.

Unlike conventional competitions that primarily emphasize final execution and rivalry, this event combines competition with intensive training sessions conducted prior to the conference. On the challenge day, participants develop and test their algorithms in a simulation environment. Finally, if successful in the simulation stage, the best teams’ codes will be implemented and executed on real robots to solve the challenge. The event concludes with a group session, where the scientific committee and participants present and discuss the implemented algorithms.

This approach enables students and robotics enthusiasts not only to experience competition, but also to gain real-world practice in working with physical robots, debugging, and engaging in teamwork under operational conditions.

Prerequisites for Participation

Participants should be familiar with:

• Programming in Python
• Machine learning algorithms
• Basic robotics concepts (kinematics, sensors, actuators, control, motion planning, and localization)

Advantages of This Challenge Compared to Conventional Competitions

1. Integration of training and competition
2. Coverage of various aspects of robotics related to AI
3. Bridging simulation and reality
4. Emphasis on teamwork
5. Preparation for industrial and research projects