The NVIDIA Developer Blog published a material on training navigation policies for robots with different physical embodiments.
In the brief description of the publication, navigation is presented as a way to link robot perception and movement to purposeful autonomy.
Details regarding the training architecture, testing conditions, involved robots, and measurable results are not disclosed in the available source. Therefore, the publication currently provides only a general direction rather than confirmation of the method's practical effectiveness.
editorial commentary
Why it matters
The probable value of the publication lies in defining the task of transferring navigation between different types of robots. The next observable signal will be the appearance of a detailed description of the method, experiments, and quantitative results. Significant uncertainty remains because currently only a page meta-description is available without the full text or independent confirmation.