Andrei M. Rotenstein

York University

Papers

1

Total Citations

7

H-Index

1

About

Andrei M. Rotenstein’s research lies at the intersection of assistive robotics, computer vision, and human-robot interaction, with a focus on empowering individuals with disabilities. His most cited work, “Fast Learning for Customizable Head Pose Recognition in Robotic Wheelchair Control” (2006, 7 citations), introduces a key contribution: a rapid, user-adaptable head pose recognition system for the PLAYBOT project, a semi-autonomous robotic wheelchair designed to assist disabled children during play. This system enables intuitive, non-contact control, allowing children to steer the wheelchair using natural head movements, while the wheelchair’s visual sensors and robotic manipulator enhance their ability to interact with their environment. Rotenstein’s approach emphasizes fast learning and customization, making the technology accessible to users with varying physical abilities. His work has been cited in subsequent assistive robotics studies, highlighting its influence on adaptive control interfaces. By integrating visual sensing with user-centered design, Rotenstein has advanced the field of socially assistive robotics, demonstrating how intelligent systems can restore autonomy and joy to children with motor impairments—a testament to technology’s potential for social good.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Fast Learning for Customizable Head Pose Recognition in Robotic Wheelchair Control
7 citations · 2006
📈 Most Prolific Year: 2006 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: York University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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