Jove
Visualize
Contact Us

Related Concept Videos

Motor Units00:46

Motor Units

57.9K
A motor unit consists of two main components: a single efferent motor neuron (i.e., a neuron that carries impulses away from the central nervous system) and all of the muscle fibers it innervates. The motor neuron may innervate multiple muscle fibers, which are single cells, but only one motor neuron innervates a single muscle fiber.
57.9K
Operons02:09

Operons

48.4K
Prokaryotes can control gene expression through operons—DNA sequences consisting of regulatory elements and clustered, functionally related protein-coding genes. Operons use a single promoter sequence to initiate transcription of a gene cluster (i.e., a group of structural genes) into a single mRNA molecule. The terminator sequence ends transcription. An operator sequence, located between the promoter and structural genes, prohibits the operon’s transcriptional activity if bound by...
48.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Use of an Autonomous Surface Vehicle reveals small-scale diel vertical migrations of zooplankton and susceptibility to light pollution under low solar irradiance.

Science advances·2018
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 20, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.5K

Autonomous robotic organizations for marine operations.

Kjetil Skaugset1,2, João Borges de Sousa2,3,4, Asgeir J Sørensen2

  • 1Equinor ASA, Stavanger, Norway.

Science Robotics
|March 26, 2025
PubMed
Summary
This summary is machine-generated.

Future marine operations need autonomous robotic organizations (AROs) with advanced skills. These AROs require enhanced cooperation, control, and resilience for diverse environments.

More Related Videos

Coral Reef Arks: An In Situ Mesocosm and Toolkit for Assembling Reef Communities
07:59

Coral Reef Arks: An In Situ Mesocosm and Toolkit for Assembling Reef Communities

Published on: January 6, 2023

3.2K
A Robotic Platform to Study the Foreflipper of the California Sea Lion
08:53

A Robotic Platform to Study the Foreflipper of the California Sea Lion

Published on: January 10, 2017

7.9K

Related Experiment Videos

Last Updated: May 20, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.5K
Coral Reef Arks: An In Situ Mesocosm and Toolkit for Assembling Reef Communities
07:59

Coral Reef Arks: An In Situ Mesocosm and Toolkit for Assembling Reef Communities

Published on: January 6, 2023

3.2K
A Robotic Platform to Study the Foreflipper of the California Sea Lion
08:53

A Robotic Platform to Study the Foreflipper of the California Sea Lion

Published on: January 10, 2017

7.9K

Area of Science:

  • Robotics and Autonomous Systems
  • Marine Engineering
  • Artificial Intelligence

Background:

  • Current marine operations rely on individual robots, limiting complex task execution.
  • Future objectives demand a more sophisticated approach beyond single-robot capabilities.

Purpose of the Study:

  • To introduce the concept of Autonomous Robotic Organizations (AROs) for advanced marine operations.
  • To outline the essential capabilities required for AROs in future missions.

Main Methods:

  • Conceptual framework development for AROs.
  • Analysis of requirements for cooperative and resilient robotic systems.

Main Results:

  • AROs represent a paradigm shift from traditional robotic systems.
  • Key capabilities include advanced cooperation, control, and resilience.

Conclusions:

  • Autonomous Robotic Organizations are essential for future marine operations.
  • Heterogeneous ARO teams require robust individual and collective performance across multiple domains.