Papers
1
Total Citations
4
H-Index
1
About
Edwide Pissaloux is a leading researcher in assistive robotics, tactile perception, and embedded systems for autonomous navigation. Her work focuses on developing low-cost, accessible technologies that enable visually impaired individuals and domestic robots to perceive and interact with their environment. A key contribution is her proposed methodology for evaluating low-cost electronic devices—such as the Raspberry Pi 3, 4, and Nvidia Jetson Nano—for implementing perception systems in robotic applications. This work, published in 2022, provides a systematic framework for testing and optimizing embedded platforms, making advanced robotics more affordable and scalable. Her research has garnered attention, with her most-cited paper accumulating 4 citations, reflecting its practical relevance in the robotics community. Pissaloux’s notable achievements include advancing tactile vision substitution systems and contributing to the design of autonomous navigation aids for the blind. Her interdisciplinary approach bridges hardware evaluation, computer vision, and human-centered design, positioning her as a key figure in making intelligent systems both accessible and effective for real-world applications.
Research Focus
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Top Papers
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