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

Stereotype Content Model02:16

Stereotype Content Model

14.0K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.0K

You might also read

Related Articles

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

Sort by
Same author

Indication for biologic treatment in a real-world cohort of chronic rhinosinusitis patients according to international recommendations: Evidence from the European CRS outcome registry (CHRINOSOR).

The World Allergy Organization journal·2026
Same author

[The Federal Ministry of Health's "Model Heat Protection Plan for Organized Sport"-background, structure, and content].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz·2026
Same author

Dosing Interval Extension of Dupilumab in CRSwNP: Five-Year Real World Outcomes.

International forum of allergy & rhinology·2026
Same author

Real-World Effectiveness of Mepolizumab in Patients With Chronic Rhinosinusitis With Nasal Polyps: Findings From the European CRS Outcome Registry (CHRINOSOR).

Clinical and translational allergy·2026
Same author

Evaluating Spin-Orbit Effects on the Thermochemistry of Proton-Coupled Electron Transfer.

Inorganic chemistry·2025
Same author

Dupilumab Dampens Mucosal Type 2 Response During Acetylsalicylic Acid Challenge in N-ERD Patients.

Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology·2025

Related Experiment Video

Updated: Jun 16, 2025

Designing and Implementing Nervous System Simulations on LEGO Robots
10:34

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

15.0K

Composable and executable scenarios for simulation-based testing of mobile robots.

Argentina Ortega1,2, Samuel Parra3, Sven Schneider3

  • 1SECORO Group, Department of Computer Science, University of Bremen, Bremen, Germany.

Frontiers in Robotics and AI
|August 19, 2024
PubMed
Summary
This summary is machine-generated.

We introduce composable and executable scenarios to simplify simulation-based testing for mobile robots. This approach helps manage scenario variability and improves the efficiency of testing robotic systems.

Keywords:
mobile robotmodel-based developmentnavigationrobot software engineeringscenario-based testingsimulation-based testingsoftware testingverification and validation

More Related Videos

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

11.6K
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.0K

Related Experiment Videos

Last Updated: Jun 16, 2025

Designing and Implementing Nervous System Simulations on LEGO Robots
10:34

Designing and Implementing Nervous System Simulations on LEGO Robots

Published on: May 25, 2013

15.0K
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

11.6K
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.0K

Area of Science:

  • Robotics
  • Software Engineering
  • Simulation

Background:

  • Simulation-based testing is crucial for mobile robot development but hindered by complex scenario specification.
  • Existing tools like CAD software are inadequate for creating dynamic and varied testing scenarios.
  • Managing scenario variability is a significant barrier for robot developers.

Purpose of the Study:

  • To propose a novel approach for creating composable and executable scenarios for robot simulation.
  • To develop tooling that supports the specification, reuse, and execution of these scenarios.
  • To address the challenge of scenario variability in simulation-based testing.

Main Methods:

  • Developed a concept of "composable and executable scenarios" with supporting tools.
  • Enabled adding semantics (dynamic elements, task variations) to existing models without alteration.
  • Evaluated the approach through a simulation-based testing campaign for a mobile robot's navigation stack.

Main Results:

  • Demonstrated systematic construction of richer, manageable scenarios.
  • Facilitated model reuse in simulation-based testing.
  • Identified previously unnoticed errors in a publicly available mobile robot navigation stack configuration.

Conclusions:

  • The proposed approach effectively manages scenario variability in robot simulation.
  • Composable scenarios enhance the efficiency and reliability of testing robotic systems.
  • This method aids in discovering configuration errors in robot software.