Maxime Busy
Papers
2
Total Citations
9
H-Index
2
About
Maxime Busy is a robotics researcher whose work centers on social robotics, human-robot interaction, and multi-disciplinary software integration. A key contribution is his involvement in the CARESSES project, a collaborative, multi-disciplinary effort to develop culturally-aware social robots for elder care. Busy’s work on this project, detailed in his most-cited paper (5 citations), addresses the critical challenge of integrating software from diverse research teams, proposing a framework for coordinated development that reduces the friction common in complex, multi-partner robotics initiatives. He also developed **qiBullet**, a physics simulator based on Bullet, specifically tailored for the Pepper and NAO robots (4 citations). This tool enables researchers to test and validate social interaction algorithms in a safe, reproducible virtual environment before deployment on physical hardware, accelerating the development cycle for human-robot interaction studies. By bridging the gap between simulation and real-world deployment, and by facilitating collaboration across disciplines, Busy’s work has practical impact on the scalability and reproducibility of social robotics research, making him a notable contributor to the field’s methodological infrastructure.
Research Focus
Key Achievements
Top Papers
- 1
- 2qiBullet, a Bullet-based simulator for the Pepper and NAO robots4 citations · 2019