International Journal of Advanced Research in Computer and Communication Engineering

Abstract: The project involves the development of two autonomous robots designed to play a soccer game on a physical field. The robots are equipped with cameras for real-time ball and goal post detection, and use pushers to move the ball towards the goal. The game environment consists of a soccer field with a moving goalkeeper, which the robots must avoid while attempting to score goals. Image processing algorithms and real-time decision-making strategies guide the robots’ actions. The system also integrates a web-based control and monitoring dashboard that enables users to view the live camera feed, control the robots manually, and monitor gameprogress in real-time. To play soccer without human control. The robot can detect the ball, recognize goals, avoid obstacles, and make smart decisions during the game. Using sensors and a camera, it sees the field, finds the best path, and moves towards the ball or goal. AI helps the robot learn, plan strategies, and react quickly to changes during play. The robot is designed for smooth movement, teamwork (in multi-robot setups), and real-time performance. This project shows how robotics and AI can work together in fun and competitive environments like robot soccer.

Keywords: Autonomous robotics, computer vision, AI-driven algorithms, deep reinforcement learning, swarm intelligence, multi-agent collaboration.

Downloads: | DOI: 10.17148/IJARCCE.2025.141211