Victor Hugo C. de Albuquerque
Papers
15
Total Citations
444
H-Index
11
About
Victor Hugo C. de Albuquerque is a leading figure in mobile robotics, autonomous navigation, and intelligent control systems, with a particular focus on integrating computer vision and IoT technologies for real-world applications. His most impactful work centers on developing novel localization and mapping approaches for mobile robots, including topological map-based methods using omnidirectional images and classification with reject options, which have collectively garnered over 200 citations. He has made significant contributions to robot-assisted rehabilitation, notably in therapy for children with cerebral palsy, and to environmental monitoring through the development of a robotic airboat for online water quality assessment in lakes. His research also extends to optimizing robotic manipulator control via genetic algorithms and advancing surgical skill learning in robot-assisted minimally invasive surgery. With papers spanning from 2016 to 2023, his work demonstrates sustained impact, achieving up to 84 citations for his optimization of photovoltaic panel cleaning robots. Albuquerque’s interdisciplinary approach—merging petri nets, RFID, and computer vision—has established him as a key innovator in making autonomous systems more reliable, efficient, and socially beneficial.
Research Focus
Key Achievements
Top Papers
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- 5A new approach for mobile robot localization based on an online IoT system37 citations · 2019
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