BoxBunny: intelligent boxing robot
Float like a butterfly, sting like a bee: Transform your boxing journey with BoxBunny for an immersive and personalised training experience for all skill levels!
Based on our primary and secondary research, boxing enthusiasts in Singapore face a number of challenges. Firstly, boxing classes may not accommodate those with varying skills levels because of the large student-to-instructor ratio. As a result, those who are ready for more challenging training may feel that the classes are too basic, while those who are new to the sport may find it difficult to keep up. Secondly, training with another person may lead to risk of injury if the person is not a professional trainer. Thirdly, personal trainers are limited and expensive. Current solutions such as watching training videos or a virtual reality-based training programme may not provide adequate realism.
To address these issues, we have developed an intelligent boxing robot that is capable of responding to movements, being able to read and react to a user's actions to box with the user. We aim to provide accessible boxing training that is as realistic as training with a human, and enable a progressive and personalised journey towards proficiency in boxing for users.

Project Team
Students:
- Mageshkumar Kirubasankar (Mechanical Engineering, Class of 2025)
- Muhammad Zakir Haziq Bin Mohd Padzal (Engineering Science, Class of 2026)
- Ramie Lim Rui Min (Mechanical Engineering, Class of 2025)
- Sim Yu Jeanette (Engineering Science, Class of 2026)
Supervisors:
- A/Prof Lim Li Hong Idris (lhi.lim@nus.edu.sg)
- Dr Elliot Law (elliot.law@nus.edu.sg)
- Mr Graham Zhu (graham.zhu@nus.edu.sg)