Dexterous Undersea Interventions with Far Distance Onshore Supervision: the DexROV Project

Abstract: The operation of a ROV requires significant off-shore dedicated manpower to handle and operate the robotic platform. In order to reduce the burden of operations, DexROV proposes to work out more cost effective and time efficient ROV operations, where manned support is in a large extent delocalized onshore (i.e. from a ROV control center), possibly at a large distance from the actual operations, relying on satellite communications. The proposed scheme makes provision for advanced dexterous manipulation capabilities, exploiting human expertise from a remote location when deemed useful. The outcomes of the project will be integrated and evaluated in a series of tests and evaluation campaigns, culminating with a realistic deep sea (1,300 meters) trial. After one year, the project specified the system architecture of the system and carried out preliminary technological trade-offs for the subsystems.

[1]  Giovanni Indiveri,et al.  Complementary Control of the Depth of an Underwater Robot , 2014 .

[2]  Ajay Kumar Tanwani,et al.  Learning Robot Manipulation Tasks With Task-Parameterized Semitied Hidden Semi-Markov Model , 2016, IEEE Robotics and Automation Letters.

[3]  Andreas Birk,et al.  Cooperative Cognitive Control for Autonomous Underwater Vehicles (CO3AUVs): overview and progresses in the 3rd project year , 2012 .

[4]  B. Allen,et al.  Development of the REMUS 600 autonomous underwater vehicle , 2005, Proceedings of OCEANS 2005 MTS/IEEE.

[5]  A. Birk,et al.  Full 3D navigation correction using low frequency visual tracking with a stereo camera , 2016, OCEANS 2016 - Shanghai.

[6]  Carme Torras,et al.  Learning Collaborative Impedance-Based Robot Behaviors , 2013, AAAI.

[7]  Gianluca Antonelli,et al.  Experimental results of coordinated sampling/patrolling by autonomous underwater vehicles , 2013, 2013 IEEE International Conference on Robotics and Automation.

[8]  Kristin Ytterstad Pettersen,et al.  Set-Based Tasks within the Singularity-Robust Multiple Task-Priority Inverse Kinematics Framework: General Formulation, Stability Analysis, and Experimental Results , 2016, Front. Robot. AI.

[9]  Kyu-Jin Cho,et al.  Jointless structure and under-actuation mechanism for compact hand exoskeleton , 2011, 2011 IEEE International Conference on Rehabilitation Robotics.

[10]  Darwin G. Caldwell,et al.  On improving the extrapolation capability of task-parameterized movement models , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[11]  Andreas Birk,et al.  Spectral 6DOF Registration of Noisy 3D Range Data with Partial Overlap , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  Giuseppe Casalino,et al.  Floating Underwater Manipulation: Developed Control Methodology and Experimental Validation within the TRIDENT Project , 2014, J. Field Robotics.

[13]  Christian A. Mueller,et al.  Object shape categorization in RGBD images using hierarchical graph constellation models based on unsupervisedly learned shape parts described by a set of shape specificity levels , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[14]  Andrew Hogue,et al.  Underwater 3D SLAM through entropy minimization , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[15]  David Wettergreen,et al.  Real‐Time SLAM with Octree Evidence Grids for Exploration in Underwater Tunnels , 2007, J. Field Robotics.

[16]  Andreas Birk,et al.  Generalized graph SLAM: Solving local and global ambiguities through multimodal and hyperedge constraints , 2016, Int. J. Robotics Res..

[17]  Andreas Birk,et al.  Uncertainty estimation for a 6-DoF spectral registration method as basis for sonar-based underwater 3D SLAM , 2012, 2012 IEEE International Conference on Robotics and Automation.

[18]  Pierre Letier,et al.  EXOSTATION : Haptic exoskeleton based control station , 2010, 2010 IEEE International Conference on Robotics and Automation.

[19]  Reinhard Koch,et al.  3D reconstruction based on underwater video from ROV Kiel 6000 considering underwater imaging conditions , 2009, OCEANS 2009-EUROPE.

[20]  Darwin G. Caldwell,et al.  A task-parameterized probabilistic model with minimal intervention control , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).