Matthew Derry
Papers
2
Total Citations
59
H-Index
2
About
Matthew Derry is a researcher at the intersection of assistive robotics and human-machine interaction, with a primary focus on developing intelligent control systems for mobility aids. His key research areas include shared-control algorithms, probabilistic modeling of user intent, and machine learning for assistive technologies. Derry's most significant contribution is his pioneering work on collaborative control for semi-autonomous wheelchairs, where he introduced a statistical machine learning approach that learns task variability from demonstration examples. This algorithm, detailed in his highly cited 2013 paper (57 citations), effectively blends human and robot controls to enhance navigation assistance. His research addresses the critical challenge of balancing user autonomy with robotic assistance, creating systems that adapt to individual user behaviors and preferences. Derry's work on probabilistic representations of user intent, though less cited, lays important groundwork for understanding how assistive robots can interpret and respond to human commands in uncertain environments. His contributions have implications for improving mobility and independence for individuals with disabilities, making his research both technically innovative and socially impactful.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Probabilistic Representation of User Intent for Assistive Robots2 citations · 2014