World Model Latent-to-Physical Regression for Symmetry Stability
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Solution Overview
Problem
Existing world models face instability in converting latent variables to physical quantities due to issues like symmetrical object coordinate systems, leading to discontinuous regression results.
Innovation Solution
A regression model is used to derive relationships between physical quantities from pairs of latent variables output from a world model, approximating the correspondence between these variables and physical quantities to stabilize the conversion process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a regression model converts a latent variable at a certain time into a physical quantity at the time (particularly, a physical quantity with respect to an absolute coordinate system), then the conversion is straightforward, but the regression result becomes unstable in some cases (e.g., when an object has a symmetrical shape)
Solution Approach 1:
The patent introduces an intermediate coordinate system (object coordinate system) as a mediator between the latent variable and the absolute coordinate system. Instead of directly converting latent variables to absolute coordinates, the system first converts them to object coordinates, then to absolute coordinates. This intermediate step resolves the instability caused by symmetrical objects in absolute coordinate systems while maintaining conversion feasibility.
2Ease of operation
If the object coordinate system is used for conversion, then the conversion process is simplified, but the object coordinate system becomes unstable when the object has a symmetrical shape, resulting in unstable regression results
Solution Approach 1:
The patent addresses the symmetrical object problem by introducing asymmetry through the intermediate coordinate system approach. When objects have symmetrical shapes that cause instability in object coordinate systems, the system uses the intermediate representation to break the symmetry dependency, ensuring stable regression results while maintaining the simplicity of the conversion process.
3Productivity
If a direct conversion from latent variable to physical quantity is performed, then the processing is efficient, but discontinuity occurs in the regression result (a difference between physical quantities corresponding to two times is not reduced even if a difference between the two times is reduced)
Solution Approach 1:
The intermediate coordinate system acts as a mediator that preserves temporal continuity while enabling efficient processing. By converting latent variables to object coordinates first (which maintain temporal relationships) and then to absolute coordinates, the system achieves both processing efficiency and regression result continuity, avoiding the discontinuity problem of direct conversion.
Data Source
AI summary
An object is to provide a technique capable of stably obtaining a correct physical quantity in a technique of converting a latent variable output from a world model into a physical quantity. An information processing apparatus includes a relationship derivation unit that derives, for an object to be inferred or predicted in a world model, a relationship between physical quantities from a pair of latent variables using a regression model having the pair of latent variables corresponding to different times output from the world model as an input, and having the relationship between the physical quantities respectively corresponding to the different times as an output.