Maxime Busy

SoftBank Robotics (France)

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

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Collaborative Development Within a Social Robotic, Multi-Disciplinary Effort: the CARESSES Case Study
5 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: SoftBank Robotics (France)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago