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

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
Frontiers in Robotics and AI
Published
2026-02-18
DOI
https://doi.org/10.3389/frobt.2026.1708161
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, R. Karthikeyan, S. Divakara Shetty, V. Kalaichelvi
Frontiers in Robotics and AI
Robotics and Sensor-Based Localization
article

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

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

Abstract

XR visualization techniques provide insights into robot sensor data and navigation behavior, supporting robotics development and education through accessible simulation environments.

Frontiers in Robotics and AIVol. 13
University of Bern (CH), Synergy University Dubai (AE), Czech Academy of Sciences, Institute of Computer Science (CZ), Birla Institute of Technology and Science, Pilani - Dubai Campus (AE)
Industry, innovation and infrastructure
Openalex Percentile: Top 52%
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.