Alexandre Candeias

Iscte – Instituto Universitário de Lisboa

Papers

Total Citations

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About

Alexandre Candeias is a robotics researcher whose work lies at the intersection of computer vision and assistive technology, with a particular focus on enhancing human-robot interaction in real-world settings. His most-cited paper, "Vision Augmented Robot Feeding" (2019), has garnered 28 citations and exemplifies his core contribution: developing perception-driven systems that enable robots to perform complex, socially meaningful tasks. In this work, Candeias pioneered methods for integrating visual feedback into robotic feeding, allowing machines to adapt to dynamic environments and user needs—a critical step toward practical assistive robots. His research addresses key challenges in robotic manipulation, including object recognition, motion planning, and adaptive control, all within the context of improving quality of life for individuals with disabilities. By bridging the gap between theoretical robotics and tangible applications, Candeias has established himself as a rising voice in the field, with his work cited by peers exploring similar intersections of vision, autonomy, and care. His achievements underscore a commitment to making robots not just functional, but genuinely helpful in everyday human activities.