Papers
7
Total Citations
37
H-Index
3
About
Sylvie Lelandais’s research career is defined by a singular, human-centered mission: developing robotic vision and localization systems to assist people with disabilities. Her work, primarily through the ARPH project (Robotic Assistance for Disabled people), focuses on creating mobile robots equipped with manipulator arms that can be guided remotely. Lelandais’s key contributions lie in stereoscopic vision, color-based image retrieval, and the fusion of neural and statistical classifiers for robust robot perception. Her most cited work, "Matching segments in stereoscopic vision" (2001, 14 citations), demonstrates her ability to achieve robust, real-time 3D matching using low-cost, poor-quality cameras—a practical breakthrough for affordable assistive technology. She further advanced robot localization with a novel global approach using colour content image retrieval (2007, 9 citations), employing an original baker’s transformation for colour quantization. Lelandais also explored the complementary nature of neural and statistical classifiers (2002, 4 citations), showing they can be combined for improved pattern recognition. Her work on object grabbing (2006, 3 citations) and multi-configuration stereoscopic systems (1999, 2 citations) directly improved the manipulation capabilities of the ARPH robot. Through her focus on color space selection and ultrasonic-visual fusion, Lelandais has built a cohesive body of work that prioritizes practical, low-cost solutions for real-world rehabilitation robotics.
Research Focus
Key Achievements
Top Papers
- 1Matching segments in stereoscopic vision14 citations · 2001
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- 7How to Choose the Best Color Space for the Guidance of an Indoor Robot?2 citations · 2002