TY - JOUR
T1 - Dexterous Underwater Manipulation from Onshore Locations
T2 - Streamlining Efficiencies for Remotely Operated Underwater Vehicles
AU - Birk, Andreas
AU - Doernbach, Tobias
AU - Mueller, Christian
AU - Luczynski, Tomasz
AU - Gomez Chavez, Arturo
AU - Koehntopp, Daniel
AU - Kupcsik, Andras
AU - Calinon, Sylvain
AU - Tanwani, Ajay Kumar
AU - Antonelli, Gianluca
AU - Di Lillo, Paolo
AU - Simetti, Enrico
AU - Casalino, Giuseppe
AU - Indiveri, Giovanni
AU - Ostuni, Luigi
AU - Turetta, Alessio
AU - Caffaz, Andrea
AU - Weiss, Peter
AU - Gobert, Thibaud
AU - Chemisky, Bertrand
AU - Gancet, Jeremi
AU - Siedel, Torsten
AU - Govindaraj, Shashank
AU - Martinez, Xavier
AU - Letier, Pierre
PY - 2018/12
Y1 - 2018/12
N2 - 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 operator, and a navigator. This crew must often be doubled or even tripled due to work shifts. In addition, customer representatives often wish to be physically present offshore. Furthermore, underwater intervention missions are still dominated by a significant amount of lowlevel, manual control of the manipulator(s) and of the vehicle itself. While there is a significant amount of research on autonomous underwater vehicles (AUVs) in general and fieldable solutions already exist for inspection and exploration missions, possibilities remain for adding intelligent autonomous functions for interventions.
AB - 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 operator, and a navigator. This crew must often be doubled or even tripled due to work shifts. In addition, customer representatives often wish to be physically present offshore. Furthermore, underwater intervention missions are still dominated by a significant amount of lowlevel, manual control of the manipulator(s) and of the vehicle itself. While there is a significant amount of research on autonomous underwater vehicles (AUVs) in general and fieldable solutions already exist for inspection and exploration missions, possibilities remain for adding intelligent autonomous functions for interventions.
KW - Bandwidth
KW - Exoskeletons
KW - Manipulators
KW - Satellites
KW - Task analysis
KW - Teleoperators
UR - http://www.scopus.com/inward/record.url?scp=85054551533&partnerID=8YFLogxK
U2 - 10.1109/MRA.2018.2869523
DO - 10.1109/MRA.2018.2869523
M3 - Article
AN - SCOPUS:85054551533
SN - 1070-9932
VL - 25
SP - 24
EP - 33
JO - IEEE Robotics and Automation Magazine
JF - IEEE Robotics and Automation Magazine
IS - 4
ER -