Controlling Ocean One: Human–robot collaboration for deep-sea manipulation

Gerald Brantner, Oussama Khatib

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Deploying robots to explore venues that are inaccessible to humans, or simply inhospitable, has been a longstanding ambition of scientists, engineers, and explorers across numerous fields. The deep sea exemplifies an environment that is largely uncharted and denies human presence. Central to exploration is the capacity to deliver dexterous robotic manipulation to this unstructured environment. Unmanned underwater vehicles (UUVs) are successful in providing passive solutions for observation and mapping but currently are far from capable of delivering human-level dexterity. The ones providing manipulation typically are UUVs coupled with position-controlled hydraulic arms using disjoint controllers for navigation and manipulation that require expert operators. Ocean One is a humanoid underwater robot designed specifically for underwater manipulation. In this paper, we present Ocean One's control architecture that, through a collaboration between this humanoid robot and a human pilot, enables the deployment of dexterous robotic manipulation to the deep sea. We provide detailed descriptions of this architecture's two main components: first, a whole-body controller that creates functional autonomy by coordinating manipulation, posture, and constraint tasks, and second, a set of haptic and visual human interfaces that enable intimate interaction while avoiding micromanagement. We test the presented methods in simulation and validate them in pool experiments and in two field deployments. On its maiden mission into the Mediterranean Sea, Ocean One explored the Lune, a French naval vessel that sank in 1664 off the coast of Toulon, France. In its second expedition, Ocean One assisted human divers in investigating underwater volcanic structures at Santorini, Greece.
Original languageEnglish (US)
Pages (from-to)28-51
Number of pages24
JournalJournal of Field Robotics
Volume38
Issue number1
DOIs
StatePublished - Jun 1 2020
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications

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