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

Introduction This paper presents SimNav-XR, an extended reality platform that integrates XR technologies with modern robotics frameworks to support mobile robot simulation and development. Methods By connecting ROS2's communication infrastructure with Unity3D's rendering and XR capabilities through the ROS-TCP-Connector package, SimNav-XR provides a practical bridge between robotics middleware and game engine environments for visualization and testing. The platform implements components for physics-based robot modeling, LiDAR and IMU sensor simulation, environmental interaction dynamics, and XR interfaces supporting both Virtual Reality (VR) and Mixed Reality (MR) modes. These capabilities create interactive environments where developers can visualize and control simulated robots through immersive interfaces using the Meta Quest 3 headset with controller-based input. Results Experimental evaluations using established platforms (Turtlebot3 and ROSbotXL) demonstrate the framework's capabilities across virtual testing scenarios, showing successful autonomous navigation with obstacle avoidance and simultaneous localization and mapping (SLAM). The VR mode provides fully immersive virtual environments for development and testing, while the MR mode uses passthrough cameras to overlay virtual robots onto real-world surfaces via plane detection. Discussion XR visualization techniques provide insights into robot sensor data and navigation behavior, supporting robotics development and education through accessible simulation environments.

Authors

Institutions

Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2026-01-01
DOI
https://doi.org/10.48620/96253
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Prakash Aryan, S. Divakara Shetty, R Karthikeyan, V Kalaichelvi
Open Access CRIS of the University of Bern
Robotics and Sensor-Based Localization
article

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

Prakash Aryan, S. Divakara Shetty, R Karthikeyan, V Kalaichelvi
article en

Abstract

Introduction This paper presents SimNav-XR, an extended reality platform that integrates XR technologies with modern robotics frameworks to support mobile robot simulation and development. Methods By connecting ROS2's communication infrastructure with Unity3D's rendering and XR capabilities through the ROS-TCP-Connector package, SimNav-XR provides a practical bridge between robotics middleware and game engine environments for visualization and testing. The platform implements components for physics-based robot modeling, LiDAR and IMU sensor simulation, environmental interaction dynamics, and XR interfaces supporting both Virtual Reality (VR) and Mixed Reality (MR) modes. These capabilities create interactive environments where developers can visualize and control simulated robots through immersive interfaces using the Meta Quest 3 headset with controller-based input. Results Experimental evaluations using established platforms (Turtlebot3 and ROSbotXL) demonstrate the framework's capabilities across virtual testing scenarios, showing successful autonomous navigation with obstacle avoidance and simultaneous localization and mapping (SLAM). The VR mode provides fully immersive virtual environments for development and testing, while the MR mode uses passthrough cameras to overlay virtual robots onto real-world surfaces via plane detection. Discussion XR visualization techniques provide insights into robot sensor data and navigation behavior, supporting robotics development and education through accessible simulation environments.

Open Access CRIS of the University of Bern
Czech Academy of Sciences, Institute of Computer Science (CZ)
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Robotics and Sensor-Based Localization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

SimNav-XR: an extended reality platform for mobile robot simulation using ROS2 and Unity3D. — Prakash Aryan, S. Divakara Shetty, et al. · Open Access CRIS of the University of Bern (2026) | TGRS Research Map | TGRS