TY - GEN
T1 - Autonomous Deep Sea Mining Exploration
T2 - 2019 OCEANS - Marseille, OCEANS Marseille 2019
AU - Sartore, Carlotta
AU - Simetti, Enrico
AU - Wanderlingh, Francesco
AU - Casalino, Giuseppe
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - This paper presents the control framework developed within the Horizon 2020 ROBUST project aimed at building an autonomous system for exploring deep sea mining sites. First, the Autonomous Underwater Vehicle analyzes the initial zone of interest with the aim of finding a sub area with the highest probability to contain a manganese nodule field. When such an area is found, a low altitude survey is performed. When a possible nodule is detected, the vehicle lands on the seafloor, allowing a dedicated sensor mounted on the manipulator's end-effector to perform the nodule analysis.This work presents the ROBUST control framework and the task priority based kinematic used for its implementation. In addition, software in the loop simulation, dry and pool test results are shown to validate the control framework addressed.
AB - This paper presents the control framework developed within the Horizon 2020 ROBUST project aimed at building an autonomous system for exploring deep sea mining sites. First, the Autonomous Underwater Vehicle analyzes the initial zone of interest with the aim of finding a sub area with the highest probability to contain a manganese nodule field. When such an area is found, a low altitude survey is performed. When a possible nodule is detected, the vehicle lands on the seafloor, allowing a dedicated sensor mounted on the manipulator's end-effector to perform the nodule analysis.This work presents the ROBUST control framework and the task priority based kinematic used for its implementation. In addition, software in the loop simulation, dry and pool test results are shown to validate the control framework addressed.
UR - http://www.scopus.com/inward/record.url?scp=85103686804&partnerID=8YFLogxK
U2 - 10.1109/OCEANSE.2019.8867075
DO - 10.1109/OCEANSE.2019.8867075
M3 - Conference contribution
AN - SCOPUS:85103686804
T3 - OCEANS 2019 - Marseille, OCEANS Marseille 2019
BT - OCEANS 2019 - Marseille, OCEANS Marseille 2019
PB - IEEE
Y2 - 17 June 2019 through 20 June 2019
ER -