Peter Veelaert
Papers
5
Total Citations
28
H-Index
3
About
Peter Veelaert is a researcher whose work bridges foundational robotics theory with impactful assistive technology. His primary research areas include mobile robot navigation, 3D perception, and assistive systems for the visually impaired. Veelaert’s major contributions are twofold. First, he introduced the concept of **flexibility maps** (1996, 1999), a unified mathematical framework for local navigation and position localization. This formalisation of navigation behaviours, cited 8 times, provided a robust theoretical basis for robots to understand and move through complex environments. Second, he has pioneered the application of these principles to aid the visually impaired. His most cited work, "A Visual SLAM System on Mobile Robot Supporting Localization Services to Visually Impaired People" (2015, 13 citations), demonstrates a direct translation of his navigation research into a system that provides real-time spatial awareness for users. More recently, Veelaert has explored advanced 3D perception, including object finding using geometrical constraints on depth images and high-resolution depth reconstruction from monocular images using deep convolutional neural networks (2017). This work, aimed at improving how robots understand 3D structure from limited data, continues to support his overarching goal of creating more capable and accessible robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Flexibility maps: A formalisation of navigation behaviours8 citations · 1999
- 3Mobile robot navigation based on flexibility maps of the environment3 citations · 1996
- 43D Object Finding Using Geometrical Constraints on Depth Images2 citations · 2015
- 5