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Angelos Mallios
Researcher at University of Girona
Publications - 38
Citations - 1210
Angelos Mallios is an academic researcher from University of Girona. The author has contributed to research in topics: Sonar & Simultaneous localization and mapping. The author has an hindex of 16, co-authored 36 publications receiving 1004 citations. Previous affiliations of Angelos Mallios include Carnegie Mellon University & Woods Hole Oceanographic Institution.
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Girona 500 AUV: From Survey to Intervention
TL;DR: The Girona 500 as discussed by the authors is an autonomous underwater vehicle whose most remarkable characteristic is its capacity to reconfigure for different tasks, ranging from different forms of seafloor survey to inspection and intervention tasks.
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Robotic tools for deep water archaeology: Surveying an ancient shipwreck with an autonomous underwater vehicle
Brian Bingham,Brendan Foley,Hanumant Singh,Richard Camilli,Katerina Delaporta,Ryan M. Eustice,Angelos Mallios,David A. Mindell,Chris Roman,Dimitris Sakellariou +9 more
TL;DR: The operations and results of the 2005 Chios ancient shipwreck survey are detailed and the specific challenges of adapting AUV technology for deep water archaeology are identified and described and how the team addressed these challenges during the Chios expedition are described.
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AUV homing and docking for remote operations
Narcis Palomeras,Guillem Vallicrosa,Angelos Mallios,Josep Bosch,Eduard Vidal,Natalia Hurtos,Marc Carreras,Pere Ridao +7 more
TL;DR: The LOON-DOCK project presented here extends the existing Litoral Ocean Observatory Network testbed with a Docking Station tailored to the Sparus II AUV, which allows a remote user to program survey-like missions through a web-based interface as well as to retrieve the data gathered by the AUV once a mission finalizes.
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Toward Autonomous Exploration in Confined Underwater Environments
TL;DR: This field deployment successfully demonstrates a scan-matching algorithm in a simultaneous localization and mapping framework that significantly reduces and bounds the localization error for fully autonomous navigation.
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Scan matching SLAM in underwater environments
TL;DR: The proposed method first estimates the local path traveled by the robot while forming the acoustic image (scan) with range data coming from a mono-beam rotating sonar head, providing position estimates for correcting the distortions that the vehicle motion produces in the scans.