Alessandro Bucci, Matteo Bresciani
The UNIFI–UNIPI IEEE OES Joint Student Branch Chapter is born in the first months of 2020 with the aim of increasing the cooperation between the Universities of Florence and Pisa, Italy, in the field of marine robotics. The Chapter is still young, but several Ph.D. students and undergraduates from both Universities have joined the Chapter since its creation.
The main activities performed during 2020 by the Chapter members were focused on fulfilling two main goals: to share the knowledge between the young research members of the groups belonging to the Universities of Florence and Pisa, e.g., performing common at-field experimental tests, and to involve new students through technical and informative presentations about marine robotics made by the Chapter members.
Firstly, several members of the Chapter participated as speakers to the IEEE OES Global OCEANS conference and the IEEE OES AUV Workshop. These conferences have been the first occasions for most of the Chapter members to take part in the most important and famous conferences regarding marine systems and robotics. During IEEE OES Global OCEANS 2020, some Chapter members took part in the Student Poster Competition (SPC). In particular, Francesco Ruscio proposed a strategy to geo-reference underwater visual data using audio for data synchronization. The results, obtained by elaborating a dataset acquired during a Posidonia Oceanica monitoring activity in front of the Ligurian coast (Italy), are very promising and can lead to accurate geo-referenced identification of the Posidonia Oceanica and the reconstruction of the surveyed area. This work has ranked at second place in the SPC Gulf Coast Section. Furthermore, the article presented at the SPC Singapore by Matteo Bresciani addresses the problem of determining a low-cost method to identify the dynamic parameters of the surge motion model for an Autonomous Underwater Vehicle utilizing experimental data coming from an acoustic tracking system composed of passive Direction of Arrival sensors.
Here is also reported a list of the Technical Program papers presented during IEEE OES Global OCEANS 2020:
A. Bucci, A. Topini, L. Zacchini, et al., “Underwater Acoustic Image Enhancement by using Fast Super-Resolution with Generative Adversarial Network.”
E. Topini, A. Topini, A. Bucci, et al., “LSTM-based Dead Reckoning Navigation for Autonomous Underwater Vehicles.”
M. Bresciani, G. Peralta, D. S. Terracciano, et al., “Comparative analysis of EKF and Particle Filter performance for an acoustic tracking system for AUVs exploiting bearing-only measurements.”
D. S. Terracciano, et al., “Ship acoustic signature measurements by using an AUV mounted vector sensor.”
M. Alibani, et al., “Real time Optimal Allocation for I-AUV with Interacting Thrusters.”
Furthermore, some papers have been presented during the 2020 IEEE OES Autonomous Underwater Vehicle Symposium (AUV 2020):
L. Zacchini, et al., “Receding-horizon sampling-based sensor-driven coverage planning strategy for AUV seabed inspections.”
L. Zacchini, A. Topini, et al., “Forward-Looking Sonar CNN-based Automatic Target Recognition: an experimental campaign with FeelHippo AUV.”
M. Franchi, A. Bucci, L. Zacchini, E. Topini, et al., “A Probabilistic 3D Map Representation for Forward-Looking SONAR Reconstructions.”
Following the guidelines we had proposed for the first year, the Chapter members have organized, in mid-December, an event, where each Ph.D. student of the Chapter has presented his research work performed during the last year. Thanks to the seven speeches, various areas of marine robotics and underwater systems have been touched during the workshop, ranging from navigation strategies to artificial intelligence and motion planning. Each presenter showed his research activity and shared the obtained results with the other presenters and to the participants, which were almost forty students during the whole workshop.
The event has been largely advertised to non-member students with interest in robotics themes to involve their participation and to let them know about the presence of the Chapter in their Universities. All the participants took an active part in the workshop, by asking questions and commenting on presentations.
Thanks to the received positive feedback from the attendees, we plan to repeat the workshop during 2021. We are thinking about adding some presentations from selected invited speakers to the ones made by the Chapter members, with the aim of increasing the network with IEEE and other communities of marine robotics researchers.
Program of the first UNIFI-UNIPI IEEE OES Joint Student Branch Chapter workshop.
9:30 – 9:40
Welcome
9:40 – 10:00
Alessandro Bucci: Sensor fusion algorithms for Autonomous Underwater Vehicles navigation
10:00 – 10:20
Matteo Bresciani: Distributed localization and navigation of an Autonomous Underwater Vehicles swarm
10:20 – 10:40
Alberto Topini: AI for fully Autonomous Underwater Vehicles inspection and intervention tasks
10:40 – 11:00
Francesco Ruscio: Geolocation of underwater images for inspection and monitoring activities
11:00 – 11:10
Break
11:10 – 11:30
Edoardo Topini: Smart Reconfigurable Drones for survey, inspection and intervention
11:30 – 11:50
Giovanni Peralta: Underwater navigation through the perception of the environment
11:50 – 12:10
Leonardo Zacchini: Motion planning, replanning and perception for Autonomous Underwater Vehicles
12:10 – 12:30
Discussion and Questions




Dr. James V. Candy is the Chief Scientist for Engineering and former Director of the Center for Advanced Signal & Image Sciences at the University of California, Lawrence Livermore National Laboratory. Dr. Candy received a commission in the USAF in 1967 and was a Systems Engineer/Test Director from 1967 to 1971. He has been a Researcher at the Lawrence Livermore National Laboratory since 1976 holding various positions including that of Project Engineer for Signal Processing and Thrust Area Leader for Signal and Control Engineering. Educationally, he received his B.S.E.E. degree from the University of Cincinnati and his M.S.E. and Ph.D. degrees in Electrical Engineering from the University of Florida, Gainesville. He is a registered Control System Engineer in the state of California. He has been an Adjunct Professor at San Francisco State University, University of Santa Clara, and UC Berkeley, Extension teaching graduate courses in signal and image processing. He is an Adjunct Full-Professor at the University of California, Santa Barbara. Dr. Candy is a Fellow of the IEEE and a Fellow of the Acoustical Society of America (ASA) and elected as a Life Member (Fellow) at the University of Cambridge (Clare Hall College). He is a member of Eta Kappa Nu and Phi Kappa Phi honorary societies. He was elected as a Distinguished Alumnus by the University of Cincinnati. Dr. Candy received the IEEE Distinguished Technical Achievement Award for the “development of model-based signal processing in ocean acoustics.” Dr. Candy was selected as a IEEE Distinguished Lecturer for oceanic signal processing as well as presenting an IEEE tutorial on advanced signal processing available through their video website courses. He was nominated for the prestigious Edward Teller Fellowship at Lawrence Livermore National Laboratory. Dr. Candy was awarded the Interdisciplinary Helmholtz-Rayleigh Silver Medal in Signal Processing/Underwater Acoustics by the Acoustical Society of America for his technical contributions. He has published over 225 journal articles, book chapters, and technical reports as well as written three texts in signal processing, “Signal Processing: the Model-Based Approach,” (McGraw-Hill, 1986), “Signal Processing: the Modern Approach,” (McGraw-Hill, 1988), “Model-Based Signal Processing,” (Wiley/IEEE Press, 2006) and “Bayesian Signal Processing: Classical, Modern and Particle Filtering” (Wiley/IEEE Press, 2009). He was the General Chairman of the inaugural 2006 IEEE Nonlinear Statistical Signal Processing Workshop held at the Corpus Christi College, University of Cambridge. He has presented a variety of short courses and tutorials sponsored by the IEEE and ASA in Applied Signal Processing, Spectral Estimation, Advanced Digital Signal Processing, Applied Model-Based Signal Processing, Applied Acoustical Signal Processing, Model-Based Ocean Acoustic Signal Processing and Bayesian Signal Processing for IEEE Oceanic Engineering Society/ASA. He has also presented short courses in Applied Model-Based Signal Processing for the SPIE Optical Society. He is currently the IEEE Chair of the Technical Committee on “Sonar Signal and Image Processing” and was the Chair of the ASA Technical Committee on “Signal Processing in Acoustics” as well as being an Associate Editor for Signal Processing of ASA (on-line JASAXL). He was recently nominated for the Vice Presidency of the ASA and elected as a member of the Administrative Committee of IEEE OES. His research interests include Bayesian estimation, identification, spatial estimation, signal and image processing, array signal processing, nonlinear signal processing, tomography, sonar/radar processing and biomedical applications.
Kenneth Foote is a Senior Scientist at the Woods Hole Oceanographic Institution. He received a B.S. in Electrical Engineering from The George Washington University in 1968, and a Ph.D. in Physics from Brown University in 1973. He was an engineer at Raytheon Company, 1968-1974; postdoctoral scholar at Loughborough University of Technology, 1974-1975; research fellow and substitute lecturer at the University of Bergen, 1975-1981. He began working at the Institute of Marine Research, Bergen, in 1979; joined the Woods Hole Oceanographic Institution in 1999. His general area of expertise is in underwater sound scattering, with applications to the quantification of fish, other aquatic organisms, and physical scatterers in the water column and on the seafloor. In developing and transitioning acoustic methods and instruments to operations at sea, he has worked from 77°N to 55°S.
René Garello, professor at Télécom Bretagne, Fellow IEEE, co-leader of the TOMS (Traitements, Observations et Méthodes Statistiques) research team, in Pôle CID of the UMR CNRS 3192 Lab-STICC.
Professor Mal Heron is Adjunct Professor in the Marine Geophysical Laboratory at James Cook University in Townsville, Australia, and is CEO of Portmap Remote Ocean Sensing Pty Ltd. His PhD work in Auckland, New Zealand, was on radio-wave probing of the ionosphere, and that is reflected in his early ionospheric papers. He changed research fields to the scattering of HF radio waves from the ocean surface during the 1980s. Through the 1990s his research has broadened into oceanographic phenomena which can be studied by remote sensing, including HF radar and salinity mapping from airborne microwave radiometers . Throughout, there have been one-off papers where he has been involved in solving a problem in a cognate area like medical physics, and paleobiogeography. Occasionally, he has diverted into side-tracks like a burst of papers on the effect of bushfires on radio communications. His present project of the Australian Coastal Ocean Radar Network (ACORN) is about the development of new processing methods and applications of HF radar data to address oceanography problems. He is currently promoting the use of high resolution VHF ocean radars, based on the PortMap high resolution radar.
Hanu Singh graduated B.S. ECE and Computer Science (1989) from George Mason University and Ph.D. (1995) from MIT/Woods Hole.He led the development and commercialization of the Seabed AUV, nine of which are in operation at other universities and government laboratories around the world. He was technical lead for development and operations for Polar AUVs (Jaguar and Puma) and towed vehicles(Camper and Seasled), and the development and commercialization of the Jetyak ASVs, 18 of which are currently in use. He was involved in the development of UAS for polar and oceanographic applications, and high resolution multi-sensor acoustic and optical mapping with underwater vehicles on over 55 oceanographic cruises in support of physical oceanography, marine archaeology, biology, fisheries, coral reef studies, geology and geophysics and sea-ice studies. He is an accomplished Research Student advisor and has made strong collaborations across the US (including at MIT, SIO, Stanford, Columbia LDEO) and internationally including in the UK, Australia, Canada, Korea, Taiwan, China, Japan, India, Sweden and Norway. Hanu Singh is currently Chair of the IEEE Ocean Engineering Technology Committee on Autonomous Marine Systems with responsibilities that include organizing the biennial IEEE AUV Conference, 2008 onwards. Associate Editor, IEEE Journal of Oceanic Engineering, 2007-2011. Associate editor, Journal of Field Robotics 2012 onwards.
Milica Stojanovic graduated from the University of Belgrade, Serbia, in 1988, and received the M.S. and Ph.D. degrees in electrical engineering from Northeastern University in Boston, in 1991 and 1993. She was a Principal Scientist at the Massachusetts Institute of Technology, and in 2008 joined Northeastern University, where she is currently a Professor of electrical and computer engineering. She is also a Guest Investigator at the Woods Hole Oceanographic Institution. Milica’s research interests include digital communications theory, statistical signal processing and wireless networks, and their applications to underwater acoustic systems. She has made pioneering contributions to underwater acoustic communications, and her work has been widely cited. She is a Fellow of the IEEE, and serves as an Associate Editor for its Journal of Oceanic Engineering (and in the past for Transactions on Signal Processing and Transactions on Vehicular Technology). She also serves on the Advisory Board of the IEEE Communication Letters, and chairs the IEEE Ocean Engineering Society’s Technical Committee for Underwater Communication, Navigation and Positioning. Milica is the recipient of the 2015 IEEE/OES Distinguished Technical Achievement Award.
Dr. Paul C. Hines was born and raised in Glace Bay, Cape Breton. From 1977-1981 he attended Dalhousie University, Halifax, Nova Scotia, graduating with a B.Sc. (Hon) in Engineering-Physics.