Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Paolo Di Lillo"'
On data-driven identification: Is automatically discovering equations of motion from data a Chimera?
Publikováno v:
Nonlinear Dynamics. 111:6487-6498
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 13:91-104
In this article, we present a control architecture for a robotic manipulator finally aimed at helping people with severe motion disabilities in performing daily life operations, such as manipulating objects or drinking. The proposed solution allows t
Publikováno v:
IEEE Transactions on Control Systems Technology. 29:108-123
This article presents the results of the experimental campaign of the EU-H2020 funded project DexROV. Its goal is to enable the remote operation of an underwater vehicle-manipulator system (UVMS) via satellite communication to execute intervention ta
Autor:
Gianluca Antonelli, Matteo Franchi, Paolo Di Lillo, Giovanni Indiveri, Antonino Bongiovanni, Daniela De Palma, Alessandro Ridolfi, Benedetto Allotta, Chiara Petrioli, Andrea Caiti, Petrika Gjanci, Riccardo Costanzi, Enrico Simetti
This paper presents the funded project DAMPS, that addresses the development of a multi-robot system for the position tracking of noise sources in underwater environment. The robots composing the team collaborate in order to fuse the local informatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8702dfa95e36894763519de828ec2347
https://hdl.handle.net/11567/1063299
https://hdl.handle.net/11567/1063299
In this paper, a novel control framework for coordinated motion for kinematically redundant multi-robot systems is developed. The framework embeds both tasks expressed as equality constraints and set-based tasks, i.e., tasks expressed via inequality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49bedbd847458749d62c8a740b214ac6
http://hdl.handle.net/11580/88556
http://hdl.handle.net/11580/88556
Publikováno v:
IROS
In this paper an experimental study of set-based task-priority kinematic control for a dual-arm mobile robot is developed. The control strategy for the coordination of the two manipulators and the mobile base relies on the definition of a set of elem
Autor:
Shashank Govindaraj, Bertrand Chemisky, Christian A. Mueller, Paolo Di Lillo, Ajay Kumar Tanwani, Giovanni Indiveri, Sylvain Calinon, Enrico Simetti, Andras Kupcsik, Xavier Martinez, Torsten Siedel, Jeremi Gancet, Peter Weiss, Tomasz Luczynski, Andreas Birk, Arturo Gomez Chavez, Luigi Ostuni, Giuseppe Casalino, Alessio Turetta, A. Caffaz, Gianluca Antonelli, Tobias Doernbach, Thibaud Gobert, Daniel Koehntopp, Pierre Letier
Publikováno v:
IEEE Robotics & Automation Magazine. 25:24-33
Underwater manipulation is a challenging problem. The state-of-the-art technology is dominated by remotely operated vehicles (ROVs). ROV operations typically require an offshore crew consisting of, at minimum, an intendant (or supervisor), an operato
Publikováno v:
ICRA
Set-Based Multi-Task Priority is a recent framework to handle inverse kinematics for redundant structures. Both equality tasks, i.e., control objectives to be driven to a desired value, and set-bases tasks, i.e., control objectives to be satisfied wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9323ca4b73582e5b8d92c387c06a17f9
http://hdl.handle.net/11580/74147
http://hdl.handle.net/11580/74147
Publikováno v:
MED
2018 26th Mediterranean Conference on Control and Automation (MED)
2018 26th Mediterranean Conference on Control and Automation (MED)
The paper presents a control framework aimed at supporting a human operator in the guidance and in the coordination of an underwater Remotely Operated Vehicle (ROV). Due to environmental conditions and operational scenarios, underwater tele-operation