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Platform > Intelligent XR Platform
Intelligent XR Platform

UTOBIZ offers intelligent and immersive XR contents by combining M&S-based AI+XR.

Its proprietary simulation (UTOESim), capable of solving problems beyond limitations, offers efficient and sustainable systems.
Such sustainable systems enable active interaction across various areas, including broadcasting,
film and games as well as education, training and experiments, making them applicable to education and training centered on active self-learning.

독창성
Originality
Active multi-collaborative education and training system
기술성
Technicality
Emotionally responsive service using cognitive technology and multi-modal interface
우수성
Merits
Active interactive platform
차별성
Differentiation
Real-time synchronization and maximized immersion
  • Providing exceptional realism through high immersion, interaction and intelligence
  • Encouraging self-directed learning via an immersive, first-person perspective
  • Offering interaction and immediate feedback among trainees via procedural activities in teams
  • Deriving optimal effectiveness and efficiency through M&S-based analysis

Application Fields

Education / Training

Autonomous driving

Entertainment

Medical

XR Platform Performance

Building a digital training platform
for railway vehicles
2023.11.13~2024.02.23

META SIMULLAP equipment
(railway VR education contents)
2024.01.15~2024.02.15

Scenario planning and development
for CNC simulation
2023.01.02~2023.03.17

Project name Duration
Creating simulated lab contents for semiconductor manufacturing processes 2025.01.13 ~ 2025.04.30
Developing simulated firing training system software for 24-N-VR anti-air/anti-ship (R-CBT) 2024.08.01 ~ 2024.12.31
Integrated virtual system for railway personnel group training designed to foster abilities to respond to unusual events and minimize human errors2024.07.19 ~ 2024.11.30
Creating a VR system to prevent aircraft maintenance accidents2024.05.01 ~ 2024.11.30
Creating equipment-based CBT for simulating 24-N-element devices (R-CBT) 2024.04.18 ~ 2024.12.18
Enhancing performance of equipment-based CBT for simulating 24-N mining sonar system (R-CBT)2024.04.01 ~ 2024.12.01
META SIMULLAP equipment (railway VR education contents)2024.01.15 ~ 2024.02.15
Building a digital training platform for railway vehicles2023.11.13 ~ 2024.02.23
Creating VR-based training materials for Air Force aircraft fueling practice2023.05.01 ~ 2023.11.30
Developing a future-oriented XR-based command and control training system2023.03.07 ~ 2027.11.30
Scenario planning and development for CNC simulation 2023.01.02 ~ 2023.03.17
Developing MR training system for Air Force control and anti-air weapons (Shingung, Vulcan) of guided missile units2022.08.01 ~ 2024.07.31
Developing CBT for helicopter takeoff/landing guidance power supply systems2022.05.20 ~ 2022.12.09
Developing CBT for simulated sonar auxiliary equipment 2022.05.20 ~ 2022.12.09
Developing VR simulator for aircraft towing and fueling trucks 2021.09.06 ~ 2023.09.05
Training system for operation and maintenance of naval anti-ship radar using MR/VR technology2021.08.01 ~ 2023.07.31
Developing VR-based interactive multi-party simultaneous teamwork training system2020.04.29 ~ 2022.04.28
Controlling training and developing new contents for simulated (3DVR) firing training system2018.09.04 ~ 2023.12.31