You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Data for manipulation is mentioned in the paper. As mentioned in the paper, each of the robots autonomously approaches its station at the beginning of the episode when collecting the data.
The network can also predict the the base pose for a given task. The question is how to collecting the navigation data for training this network? Will the predicted base pose keep changing when running or it represents the final position around a given station?
Thanks for your attention and I am always keeping waiting for you kind response.
The text was updated successfully, but these errors were encountered:
@oym1994 Hello, I've also been experimenting with this framework for navigation-related training recently, but I'm struggling with data collection. Have you had success with training, and could you provide some assistance on collecting data? Thank you very much.
Hi thank for this great job!
Data for manipulation is mentioned in the paper. As mentioned in the paper, each of the robots autonomously approaches its station at the beginning of the episode when collecting the data.
The network can also predict the the base pose for a given task. The question is how to collecting the navigation data for training this network? Will the predicted base pose keep changing when running or it represents the final position around a given station?
Thanks for your attention and I am always keeping waiting for you kind response.
The text was updated successfully, but these errors were encountered: