Alexandre Alapetite
Technical University of Denmark, Alexandra Institute (Denmark)
Papers
6
Total Citations
133
H-Index
5
About
Alexandre Alapetite is a researcher whose work sits at the intersection of human-computer interaction, assistive technology, and robotics, with a particular focus on enabling people with motor disabilities to engage more fully with digital and physical environments. His pioneering 2009 study on gaze-controlled driving — now cited 49 times — demonstrated that eye-tracking systems could reliably steer remote vehicles, opening new possibilities for hands-free control interfaces. This foundational work evolved into a sustained research program on telepresence robotics, including eye-gaze-controlled telepresence robots (18 citations) and head-mounted display systems for telerobot navigation (28 citations), designed specifically to enhance mobility and social participation for wheelchair users with severe physical limitations. Alapetite has also contributed meaningfully to the technical underpinnings of robot navigation, publishing comparative evaluations of visual odometry systems (20 citations) that help practitioners select appropriate indoor positioning solutions. His 2019 work on wheelchair-accessible virtual reality further illustrates his commitment to inclusive design, offering a low-cost solution for VR engagement without reliance on conventional hand or head inputs. Across his career, Alapetite has consistently bridged cutting-edge technology with real human needs, making him a notable figure in accessible human-robot interaction research.
Research Focus
Key Achievements
Top Papers
- 1Gaze-controlled driving49 citations · 2009
- 2Head and gaze control of a telepresence robot with an HMD28 citations · 2018
- 3Comparison of Three Off-the-Shelf Visual Odometry Systems20 citations · 2020
- 4Eye-Gaze-Controlled Telepresence Robots for People with Motor Disabilities18 citations · 2019
- 5Providing Access to VR Through a Wheelchair16 citations · 2019
- 6Real-world Comparison of Visual Odometry Methods2 citations · 2020