Jove
Visualize
Contact Us
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 Concept Videos

Light Acquisition02:16

Light Acquisition

9.4K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
9.4K
Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

729
Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
729

You might also read

Related Articles

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

Sort by
Same author

Strategic choices of attack location allow predators to counter a collective prey defence.

Proceedings. Biological sciences·2026
Same author

Future practices of interdisciplinary research in collective animal behaviour.

Journal of the Royal Society, Interface·2026
Same author

Better and faster decisions by larger fish shoals in the wild.

Science advances·2025
Same author

Collective anti-predator escape manoeuvres through optimal attack and avoidance strategies.

Communications biology·2024
Same author

Sailfish generate foraging opportunities for seabirds in multi-species predator aggregations.

Biology letters·2024
Same author

Selective social interactions and speed-induced leadership in schooling fish.

Proceedings of the National Academy of Sciences of the United States of America·2024
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
Same journal

Three-Dimensional Modeling and Performance Analysis of Dynamic mmWave V2I Networks Based on Stochastic Geometry.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jan 18, 2026

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

685

LARS: A Light-Augmented Reality System for Collective Robotic Interaction.

Mohsen Raoufi1,2, Pawel Romanczuk1,3, Heiko Hamann1,4

  • 1Science of Intelligence, Research Cluster of Excellence, 10587 Berlin, Germany.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
Summary
This summary is machine-generated.

We developed the Light-Augmented Reality System (LARS), an accessible tool for collective robotics. LARS enhances robot-robot and robot-human interaction for education and public engagement.

Keywords:
Augmented Reality (AR)Extended Reality (XR)Mixed Reality (MR)collective roboticseducational roboticshuman–robot interactionmulti-robot systemsopen-source roboticsswarm robotics

More Related Videos

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
06:03

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis

Published on: February 6, 2020

7.0K
Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
13:44

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy

Published on: August 8, 2011

14.6K

Related Experiment Videos

Last Updated: Jan 18, 2026

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

685
Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
06:03

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis

Published on: February 6, 2020

7.0K
Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
13:44

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy

Published on: August 8, 2011

14.6K

Area of Science:

  • Robotics
  • Human-Computer Interaction
  • Education Technology

Background:

  • Collective robotics systems offer significant potential for education and public engagement.
  • A key barrier is the lack of accessible tools to visualize complex, embodied interactions in these systems.

Purpose of the Study:

  • To introduce the Light-Augmented Reality System (LARS), an open-source, marker-free, cross-platform tool for collective robotics research, education, and outreach.
  • To enable indirect robot-robot communication via stigmergy while maintaining physical and sensing constraints.
  • To improve robot-human interaction by making hidden information visible.

Main Methods:

  • LARS utilizes Extended Reality (XR) to project dynamic visual objects into the physical environment.
  • The system is designed to be low-cost, easily deployable, and platform-independent, requiring no hardware modifications.
  • Real-time projection of visible information facilitates reproducible experiments.

Main Results:

  • LARS effectively bridges the gap between abstract collective dynamics and observable behavior.
  • The system enhances understanding of multi-robot interactions for both researchers and the public.
  • Demonstrated utility as a research tool and an engagement platform for collective robotics.

Conclusions:

  • LARS provides an accessible and flexible platform for illustrating complex collective robotics behaviors.
  • The system promotes hands-on learning and expands public understanding of collective, embodied intelligence.
  • LARS is a valuable tool for advancing research, education, and outreach in collective robotics.