Known as ChessRobot, the system integrates machine learning and computer vision to recognise the chessboard, analyse gameplay strategies and execute optimal moves in real time.
A physical robotic arm autonomously moves real chess pieces, offering a realistic and interactive experience with adjustable difficulty levels ranging from beginner to advanced.
The project, launched in October 2025, was developed by students from several disciplines, including Artificial Intelligence, Semiconductor Circuit Design, Digital Automotive Technology and Software Engineering, under the guidance of university lecturers. Since its debut, ChessRobot has been used as both a learning and entertainment tool, helping students explore chess strategies in a more engaging way.
According to team member Đoàn Thành Nhân, a Software Engineering student, the group spent two months refining algorithms, optimising AI models and improving hardware to ensure the system’s stability and accuracy. He said the project leverages chess’s clear rule-based structure, allowing AI to analyse gameplay while a robotic arm performs physical actions on the board.
The system can also detect invalid moves, immediately alerting players through an on-screen interface and prompting them to make another move.
Another team member, Đỗ Hoàng Gia, said the project provided his first hands-on experience with AI technology. Through self-study and support from lecturers and peers, he said the team completed the robot within two months, enabling direct matches between humans and machines and allowing students to apply theoretical knowledge in practice.
In the next development phase, lecturers and students plan to upgrade ChessRobot with additional features, including player and environmental recognition.
Nguyễn Đăng Khoa, an IT lecturer at the Faculty of Information Technology, said the project marked a significant shift in students’ thinking—from focusing solely on algorithms to addressing real-world system challenges such as lighting conditions affecting camera accuracy and coordination between the camera and robotic arm.
He described ChessRobot as a clear demonstration of multidisciplinary integration and a practical example of the university’s “learning by doing” philosophy, turning classroom concepts into functional technology products.
Through projects such as ChessRobot, FPT University’s Quy Nhon campus continues to promote hands-on technology education aimed at developing a new generation of engineers and technology professionals.