Papers
2
Total Citations
32
H-Index
2
About
Alban Portello is a researcher whose work sits at the intersection of robotics and auditory perception, specializing in binaural systems and active source localization. His key research focuses on enabling robots to locate sound sources using only two microphones—mimicking human hearing—and, crucially, on designing "active" strategies that overcome the inherent ambiguities of static listening. His most cited work, "Binaural Systems in Robotics" (2013, 22 citations), provides a foundational overview of this field. His major contribution, detailed in "A three-stage framework to active source localization from a binaural head" (2015, 10 citations), tackles the classic "front-back confusion" problem. By integrating motor commands with auditory signals, Portello demonstrated how a robot can actively move its head to resolve spatial ambiguities that are non-observable from a fixed position. This work has been influential for researchers developing more autonomous and perceptive robotic systems, showing that movement is not just for navigation but is a powerful tool for perception itself.
Research Focus
Key Achievements
Top Papers
- 1Binaural Systems in Robotics22 citations · 2013
- 2A three-stage framework to active source localization from a binaural head10 citations · 2015