Virtual/Augmented Reality TRIZ Cases
- Prefabricated construction wall assembly
See how a compression member with intermediate thermal expansion coefficient connects panel to
- Prefabricated construction wall assembly
See how mechanical adapters and spacers connect solid-surface panels to frame structures with d
- Distributed Control Timing Uncertainty Modeling With Polynomial Chaos
Models jitter and dead time in distributed control using intrusive polynomial chaos to predict mean and variance with lower simulation burden.
- AI Electrolyte Design Using Tomography-Based Porosity Prediction
Tomography images and AI models predict electrolyte viscosity and transmittance from pore structure, speeding secondary battery design.
- Autonomous Vehicle Simulation Using Log-Based Object Trajectories
Recorded vehicle logs and trajectory segments recreate real object behavior in simulation, improving autonomous driving test realism without road risk.
- Multi-Sensor Fusion Training for Robust Object Motion Prediction
Sensor dropout training reduces dependence on LiDAR, camera, and RADAR inputs, improving object detection and motion prediction under noise.
- Multi-Sensor Fusion Training for Robust Object Detection and Motion Prediction
Sensor dropout training reduces over-reliance on LiDAR, camera, and RADAR inputs, improving object detection and motion prediction robustness.
- Virtual Traffic Scenario Generation With Domain Adaptation
Real driving logs are augmented with critical events to build diverse virtual traffic scenarios for autonomous vehicle training and validation.
- Gas Turbine Digital Twin Updating for Real-Time State Monitoring
Sensor-driven reduced-order and verification models keep gas turbine digital twins accurate for real-time state monitoring and control.
- Distributed Control Timing Uncertainty in Surrogate Simulation
Stochastic surrogate simulation captures jitter and dead time in distributed control, improving controller evaluation without extensive runs.
- Spacecraft Mission Planning Using Objective-Scored Simulation
Objective scoring and simulation replace subjective spacecraft planning, enabling faster mission optimization under changing conditions.
- Virtual AR HMI Testing for Industrial Plant Commissioning
A VR plant replica verifies AR HMI data links and overlay placement before installation, reducing commissioning delays and field rework.
- AR HMI Virtual Testing in Digital Plant Environments
A VR plant replica tests AR HMI data linkage and graphic placement before commissioning, cutting on-site debugging time and cost.
- Synthetic World Simulation for Computer Vision and Speech Testing
Virtual sensor, motion, and environment simulation speeds computer vision and speech algorithm testing while reducing manual setup cost and time.
- Staged Digital Twin Architecture for Fast, Reliable Decision Support
Stepwise digital twin analysis delivers immediate alerts first, then deeper causality results to improve response speed and decision reliability.
- Sensor-Less Digital Twin Comparison for Maintenance Prediction
Virtual sensors and weighted twin comparison predict asset degradation and maintenance needs without costly physical sensor networks.
- Posed Signed Distance Fields for Real-Time Deformable Contact
A learned posed signed distance field replaces costly mesh reconstruction, enabling accurate real-time contact simulation for deformable bodies.
- Waveguide Combiner Grid Simulation for Faster Grating Design
A discretized grid model replaces slow ray tracing in waveguide combiner simulations, speeding grating design tradeoffs across FOV, image quality, and eyebox.
- Virtual Wafer Calibration for Full-Flow Semiconductor Process Modeling
Virtual wafer calibration replaces costly fab trial and error with predictive 3D process modeling aligned to physical metrology results.
- Building Power Forecasting with Energy Drift and Hybrid Models
Preprocessed meter and sensor data, energy-temperature correlation, and hybrid SVR-ANN models improve long-horizon building power forecasts.
- Physics-Informed GNN Gas Explosion Prediction in Obstructed Environments
Physics-informed GNNs predict blast pressure in obstructed gas explosions.
- Probabilistic FMCW LiDAR Sensor Modeling for Virtual Testing
Probabilistic modeling of FMCW LiDAR outputs reduces computational complexity while maintaining measurement precision for algorithm testing.