Riccardo Bono

dblp:44/5499 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 1 first-authorSystems, architecture and hardware · 4 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
4 papers
Legged, aerial and field robots · 54% Motion planning and robot control · 26% Knowledge representation and reasoning · 11%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Environmental and earth informatics · 100%

Topics — the 12 heaviest of 12, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
underwater robotics
0.122005
Design and Exploitation of an Autonomous Surface Vessel for the Study of Sea-Air Interactions · ICRA 2005
Simulation and Control of an Unmanned Underwater Vehicle · ICRA 1995
Robotics › Legged, aerial and field robots › field robotics › maritime robotics
autonomous surface vehicle
0.112005
Design and Exploitation of an Autonomous Surface Vessel for the Study of Sea-Air Interactions · ICRA 2005
Knowledge, reasoning and agents › Knowledge representation and reasoning › diagnosis
discrete-event systems
0.012001
Execution Control of the NGC tasks for ROVs · ICRA 2001
Robotics › Motion planning and robot control › robot control
hybrid control
0.012001
Execution Control of the NGC tasks for ROVs · ICRA 2001
Robotics › Motion planning and robot control
robot control architecture
0.012001
Execution Control of the NGC tasks for ROVs · ICRA 2001
Robotics › Legged, aerial and field robots › underwater robotics
autonomous underwater vehicle
0.021997
Simulation and Control of an Unmanned Underwater Vehicle · ICRA 1995
AMADEUS: advanced manipulator for deep underwater sampling · ICRA 1997
Robotics › Robot manipulation › grasping
multifingered hand
0.011997
AMADEUS: advanced manipulator for deep underwater sampling · ICRA 1997
Environmental and earth informatics
oceanography
0.012005
Design and Exploitation of an Autonomous Surface Vessel for the Study of Sea-Air Interactions · ICRA 2005
Robotics › Legged, aerial and field robots
field robotics
0.011995
Simulation and Control of an Unmanned Underwater Vehicle · ICRA 1995
Robotics › Motion planning and robot control
robot control
0.011995
Simulation and Control of an Unmanned Underwater Vehicle · ICRA 1995
Robotics › Robot navigation and mapping › mobile robot navigation › vehicle navigation
underwater vehicle navigation
0.012001
Execution Control of the NGC tasks for ROVs · ICRA 2001
Performance modeling and evaluation
simulation
0.011995
Simulation and Control of an Unmanned Underwater Vehicle · ICRA 1995

Methods — techniques the papers use, named apart from their topics

navigation, guidance and control · 0.1petri net · 0.0discrete event systems · 0.0sensor filtering · 0.0dynamic simulation · 0.0force and slip sensing · 0.0closed-loop control · 0.0
YearPublicationVenuePosition
2005 Design and Exploitation of an Autonomous Surface Vessel for the Study of Sea-Air Interactions
abstract
The design, development, sea trials and exploitation of the SESAMO (SEa Surface Autonomous MOdular unit) platform, an autonomous surface vessel for the study and characterization of the air-sea interface, are presented. The SESAMO prototype robot, developed by the robotics group of CNR-ISSIA, Genova branch, in strict cooperation with the scientific end-users in the framework of a project of the Italian National Program of Research in Antarctica (PNRA), was able to sample the sea surface microlayer and immediate sub-surface. After satisfactory basic at field trials of the navigation, guidance and control (NGC) and sampling systems, the robotised catamaran was exploited by the scientific end-users for water sample collection in the area of Terra Nova Bay, Ross Sea, Antarctica, in the framework of the PNRA project Chemical contamination.
Massimo Caccia, Riccardo Bono, Gabriele Bruzzone, Giorgio Bruzzone, Edoardo Spirandelli, Gianmarco Veruggio, Angela Maria Stortini
ICRA2
2001 Execution Control of the NGC tasks for ROVs
abstract
The problem of designing an interface between the continuous-state and the discrete-state domains of intelligent control architectures is addressed, focusing on the case of a hierarchical navigation, guidance and control (NGC) architecture for unmanned underwater vehicles. The proposed interface represents the underlying continuous-state execution level as a discrete event system using a Petri net formalism. The correct behavior of the execution level is ensured, checking that no forbidden state is reached and that the proper task activation and deactivation order is respected. Methodologies for the off-line generation of the Petri net representation of the execution level and automatic system reconfiguration are presented.
Paolo Coletta, Riccardo Bono, Gabriele Bruzzone, Massimo Caccia, Gianmarco Veruggio
ICRA2
1997 AMADEUS: advanced manipulator for deep underwater sampling
abstract
AMADEUS is a dexterous subsea robot hand incorporating force and slip contact sensing, using fluid-filled tentacles for fingers. Hydraulic pressure variations in each of three flexible tubes (bellows) in each finger create a bending moment, and consequent motion or increase in contact force during grasping. Such fingers have inherent passive compliance, no moving parts, and are naturally depth pressure-compensated, making them ideal for reliable use in the deep ocean. In addition to the mechanical design, development of the hand has also been considered for closed loop finger position and force control, coordinated finger motion for grasping, force and slip sensor development/signal processing, and reactive world modelling/planning for supervisory "blind grasping". Initially, the application focus is for marine science tasks, but broader roles in offshore oil and gas, salvage, and military use are foreseen. Phase I of the project has been completed, with the construction of a first prototype. This paper summarizes the developments in Phase I. Further details for each area of investigation are referenced.
David M. Lane, J. Bruce C. Davies, G. Robinson, Desmond J. O'Brien, Martin F. C. Pickett, E. Scott, Giuseppe Casalino, Giorgio Bartolini, Giorgio Cannata, Antonella Ferrara, D. Angelletti, Mauro Coccoli, Gianmarco Veruggio, Riccardo Bono, P. Virgili, Gabriele Bruzzone, Miquel Canals, R. Pallas, E. Gracia
ICRA16
1995 Simulation and Control of an Unmanned Underwater Vehicle
abstract
This paper presents activities in the field of underwater robotics carried out at the Naval Automation Institute of the Italian National Research Council. The ultimate goal is the development of an autonomous underwater vehicle for research purposes. A bottom-up approach has been adopted and efforts are focused on the automation of undersea tasks. A prototype vehicle called ROBY has been designed and a dynamic AUV simulator, known as ROBYSIM has been implemented. Brief considerations on ROBY's technical characteristics and software control architecture are followed by a description of ROBYSIM. Work performed on the control and sensor filtering modules of the architecture is subsequently reviewed. Finally, experimental tests are briefly described and experimental results are compared to the outcome of simulation.
Riccardo Bono, Massimo Caccia, Gianmarco Veruggio
ICRA1