Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Virtual Work for a System of Connected Rigid Bodies

Virtual Work for a System of Connected Rigid Bodies

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,...

You might also read

Related Articles

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

Sort by

Same author

Effect of hybrid fibre reinforcement and rubber aggregates on the flexural performance of reinforced concrete beams.

Scientific reports·2025

Same author

Sleep-wakeup based secure multipath routing in wsn using fennec fox optimized deep learning framework.

Scientific reports·2025

Same author

Correction to "Synthesis and Characterization of Dy<sub>2</sub>O<sub>3</sub>@TiO<sub>2</sub> Nanocomposites for Enhanced Photocatalytic and Electrocatalytic Applications".

ACS engineering Au·2025

Same author

The growing trend of saltwater intrusion and its impact on coastal agriculture: Challenges and opportunities.

The Science of the total environment·2025

Same author

Neurotoxic effects and cognitive decline induced by Aniline Blue dye in an in-vivo zebrafish model.

Toxicology·2025

Same author

A Comprehensive Review on Preparation of Silver Nanoparticles from a Bacteriocin for the Natural Preservation of Food Products.

Applied biochemistry and biotechnology·2024

Same journal

Passive wheels on legged robots: a survey.

Frontiers in robotics and AI·2026

Same journal

Politeness cannot make up for robots' errors.

Frontiers in robotics and AI·2026

Same journal

Workers expect basic social skills but limited autonomy from future robots - a qualitative interview study and taxonomy for robot social skills.

Frontiers in robotics and AI·2026

Same journal

Human-robot interaction in sustainable hospitality: how robot type shapes customer emotions, green perceptions, and service loyalty.

Frontiers in robotics and AI·2026

Same journal

Dynamic variance-aware federated tuning for efficient autonomous vehicle perception under non-IID settings.

Frontiers in robotics and AI·2026

Same journal

Editorial: Synergizing large language models and computational intelligence for advanced robotic systems.

Frontiers in robotics and AI·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 7, 2026

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

SimNav-XR: an extended reality platform for mobile robot simulation using ROS2 and Unity3D.

Prakash Aryan¹, Sujala Deepak Shetty², V Kalaichelvi³

¹Institute of Computer Science, University of Bern, Bern, Switzerland.

Frontiers in Robotics and AI

|March 6, 2026

Summary

This summary is machine-generated.

SimNav-XR integrates extended reality (XR) with robotics frameworks for mobile robot simulation. This platform enables immersive visualization and testing of robot navigation and sensor data, enhancing development and education.

Keywords:

ROS2 Unity3D autonomous navigation extended reality mixed reality mobile robots robotics simulation virtual reality

More Related Videos

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories

Published on: February 23, 2024

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering

Published on: June 23, 2023

Related Experiment Videos

Last Updated: Mar 7, 2026

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories

Published on: February 23, 2024

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering

Published on: June 23, 2023

Area of Science:

Robotics
Extended Reality (XR)
Simulation Technology

Background:

Mobile robot development requires robust simulation and testing environments.
Integrating robotics middleware with game engines is crucial for advanced visualization and interaction.

Purpose of the Study:

To introduce SimNav-XR, an extended reality platform for mobile robot simulation and development.
To bridge robotics middleware (ROS2) with game engine capabilities (Unity3D) for enhanced visualization and testing.

Main Methods:

Utilized ROS2 communication infrastructure and Unity3D's XR capabilities via ROS-TCP-Connector.
Implemented physics-based robot modeling, LiDAR/IMU sensor simulation, and environmental interaction dynamics.
Developed XR interfaces for Virtual Reality (VR) and Mixed Reality (MR) modes using Meta Quest 3.

Main Results:

Demonstrated successful autonomous navigation, obstacle avoidance, and Simultaneous Localization and Mapping (SLAM) using Turtlebot3 and ROSbotXL.
Validated VR mode for immersive development and testing environments.
Showcased MR mode for overlaying virtual robots onto real-world surfaces using plane detection.

Conclusions:

SimNav-XR provides an accessible and interactive platform for robotics development and education.
XR visualization techniques offer valuable insights into robot sensor data and navigation behavior.
The platform enhances the development lifecycle for mobile robots through immersive simulation.