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Massimo Caccia

Researcher at National Research Council

Publications -  186
Citations -  2995

Massimo Caccia is an academic researcher from National Research Council. The author has contributed to research in topics: Remotely operated underwater vehicle & Motion estimation. The author has an hindex of 24, co-authored 186 publications receiving 2680 citations.

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Modeling and identification of open-frame variable configuration unmanned underwater vehicles

TL;DR: In this article, a lumped parameter model of open-frame UAVs including the effects of propeller-hull and propellerpropeller interactions is presented, and identification of the model parameters consists of a least squares method using only on-board sensor data without requiring any towing tank tests.
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Basic navigation, guidance and control of an Unmanned Surface Vehicle

TL;DR: Experiments demonstrate the effectiveness, both for precision and power consumption, of extended Kalman filter and simple PID guidance and control laws to perform basic control tasks with a USV equipped only with GPS and compass.
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Sampling sea surfaces with SESAMO: an autonomous craft for the study of sea-air interactions

TL;DR: The system design, sea trials and Antartic exploitation of the SESAMO platform are presented, showing that a relatively simple robot could satisfactorily work in a natural, outdoor environment, dramatically facilitating the job of the human operator.
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Fault detection of actuator faults in unmanned underwater vehicles

TL;DR: In this article, a fault-diagnostic system for unmanned underwater vehicles has been designed and tested in real operating conditions, relying on approximate models of the vehicles' dynamics, which is performed by a bank of estimators.
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Guidance and control of a reconfigurable unmanned underwater vehicle

TL;DR: In this paper, a three-level hierarchical architecture is proposed in order to uncouple the execution of user-defined motion-task functions with respect to the operating environment (guidance), from linear and angular speed control and mapping of the required control actions onto the actuation system.