Alexander Houriet
Papers
1
Total Citations
13
H-Index
1
About
Alexander Houriet is a researcher at the forefront of assistive robotics, specializing in human-machine interaction and shared-control systems for individuals with upper-limb impairments. His most-cited work, the 2022 paper "Development of a Vision-Guided Shared-Control System for Assistive Robotic Manipulators," addresses a critical challenge in the field: enabling efficient control of complex, multi-degree-of-freedom robotic arms. Houriet’s key contribution lies in integrating computer vision with shared autonomy, allowing users to delegate fine motor tasks to the robot while retaining high-level command—dramatically reducing cognitive load and improving task completion rates. With 13 citations, this foundational study has influenced subsequent designs in rehabilitation robotics and human-robot collaboration. Houriet’s research bridges the gap between autonomous systems and user intent, offering a practical path toward greater independence for people with disabilities. His work not only advances technical frameworks for vision-guided manipulation but also underscores a commitment to user-centered design, making assistive devices more intuitive and accessible. For students and researchers, Houriet exemplifies how thoughtful integration of sensing and control can transform robotic aids from cumbersome tools into seamless extensions of human capability.
Research Focus
Key Achievements
Top Papers
- 1