Encyclopedia of Systems and Control

Living Edition
| Editors: John Baillieul, Tariq Samad

Advanced Manipulation for Underwater Sampling

  • Giuseppe Casalino
Living reference work entry
DOI: https://doi.org/10.1007/978-1-4471-5102-9_129-1

Abstract

This entry deals with the kinematic self-coordination aspects to be managed by part of underwater floating manipulators, whenever employed for sample collections at the seafloor.Kinematic self-coordination is here intended as the autonomous ability exhibited by the system in closed loop specifying the most appropriate reference velocities for its main constitutive parts (i.e., the supporting vehicle and the arm) in order to execute the sample collection within the respect of both safety and best operability conditions for the system while also guaranteeing the needed “execution agility” in performing the task, particularly useful in case of underwater repeated collections. To this respect, the devising and employment of unifying control framework capable of guaranteeing the above properties will be outlined.Such framework is however intended only representing the so-called Kinematic Control Layer (KCC), upper-lying a Dynamic Control Layer (DCL), where the overall system dynamic and hydrodynamic effects are suitably accounted to the benefit of closed loop tracking the reference system velocities closed loop provided by the KLC itself. Since the DCL design be carried out in a way which is substantially independent from the system mission (s), it will not constitute a specific topic of this entry, even if some orienting references about it will be provided.At this entry’s end, as a follow-up of the resulting structural invariance of the devised KCL framework, future challenges addressing much wider and complex underwater applications will be foreseen, beyond the here-considered sample collection one.

Keywords

Underwater Vehicle Stereo Camera Cartesian Space System Velocity Equality Objective 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Bibliography

  1. Antonelli G (2006) Underwater robotics. Springer tracts in advanced robotics. Springer, New YorkGoogle Scholar
  2. Casalino G (2011) Trident overall system modeling, including all needed variables for reactive coordination. Technical report ISME-2011. Available at http//www.grasal.dist.unige.it/files/89
  3. Casalino G, Zereik E, Simetti E, Torelli S, Sperindè A, Turetta A (2012a) Agility for uunderwater floating manipulation task and subsystem priority based control strategies. In: International conference on intelligent robots and systems (IROS 2012), Vilamoura-AlgarveGoogle Scholar
  4. Casalino G, Zereik E, Simetti E, Torelli S, Sperindè A, Turetta A (2012b) A task and subsystem priority basedCcontrol strategy for underwater floating manipulators. In: IFAC workshop on navigation, guidance and control of underwater vehicles (NGCUV 2012), PortoGoogle Scholar
  5. Marani G, Choi SK, Yuh J (2009) Underwater autonomous manipulation for intervention missions AUVs. Ocean Eng 36(1):15–23CrossRefGoogle Scholar
  6. Marani G, Yuh J (2014) Introduction to autonomous manipulation - case study with an underwater robot, SAUVIM. Springer Tracts in Advanced Robotics 102, Springer, pp. 1-156Google Scholar
  7. Nakamura Y (1991) Advanced robotics: redundancy and optimization. Addison Wesley, ReadingGoogle Scholar
  8. Sanz P, Ridao P, Oliver G, Casalino G, Insurralde C, Silvestre C, Melchiorri M, Turetta A (2012) TRIDENT: recent I mprovements about autonomous underwater intervention missions. In: IFAC workshop on navigation, guidance and control of underwater vehicles (NGCUV 2012), PortoGoogle Scholar
  9. Simetti E, Casalino G, Torelli S, Sperinde A, Turetta A (2013) Experimental results on task priority and dynamic programming based approach to underwater floating manipulation. In: OCEANS 2013, Bergen, June 2013Google Scholar
  10. Yoshikawa T (1985) Manipulability of robotic mechanisms. Int J Robot Res 4(1):3–9. 1998Google Scholar
  11. Yuh J, Cho SK, Ikehara C, Kim GH, McMurty G, Ghasemi-Nejhad M, Sarkar N, Sugihara K (1998) Design of a semi-autonomous underwater vehicle for intervention missions (SAUVIM). In: Proceedings of the 1998 international symposium on underwater technology, Tokyo, Apr 1998Google Scholar

Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  1. 1.University of GenoaGenoaItaly