Robotics Competitions 

Participated in international VEX Robotics V5 competitions as part of a multidisciplinary team, focusing on robot design, programming, and competition strategy to achieve high performance in both autonomous and driver-controlled matches. Contributed to humanoid robotics projects involving Linux-based programming, sensor integration, and motion control, and developed autonomous line-following robots for path tracking and navigation using sensor-based control algorithms. 

Objectives

• Design and build a competitive VEX V5 robot that meets game requirements.

• Develop reliable control programs for autonomous and driver-controlled modes.

• Optimize robot performance through testing, iteration, and match strategy.

• Develop autonomous line-following robots for path tracking and navigation.

• Apply motion control, Linux-based programming, and sensor integration in humanoid robotics platforms.

Outcomes & Contributions

• Designed and built robot subsystems, including mechanical structure and integration.

• Developed and tested control programs for autonomous and driver-controlled operation.

• Contributed to match strategy, game analysis, and performance optimization.

• Developed autonomous line-following robots and contributed to humanoid robotics programming and sensor integration.

• Awarded 2nd Place as part of the Engineering Club team (Makkah, Saudi Arabia).

• Received the Judges Award at RATIC 2025 (Al-Ahsa, Saudi Arabia).

• Received the Judges Award at the VEX Robotics Open Asia Signature Event 2025 (Beijing, China).

• Awarded the Create Award (Riyadh, Saudi Arabia).

• Achieved 1st and 3rd Place at 2026 Spring City Cup Humanoid Robot Football Championship (Jinan, China).

Technical Details & Skills

• Field: Robotics, Embedded Systems, Mechatronics

• Programming: Robot control, autonomous routines, and sensor processing using Python/C++ and Linux-based platforms

• Skills: System integration, testing, competition strategy, mechanical design, mechatronic systems, motion control, line following, and sensor integration