GNM dataset mix (General Navigation Models)

Name: GNM dataset mix (General Navigation Models)
Creator: UC Berkeley and collaborators

From the catalogue. Listed by one researcher from one source page.

id: gnm-dataset-mix-general-navigation-models
kind: navigation and mobile, teleop
robot or device: TurtleBot2, Clearpath Jackal, RC car, Boston Dynamics Spot, Clearpath Warthog, ATV (class: cross embodiment)
how collected: mix of tele-operated and autonomous navigation data
size as stated: over 60 hours across 6 robots
hours: 60 | hours only claimed: none | episodes: not stated
year: 2022
organisation: UC Berkeley and collaborators
licence: not stated (class: not stated)
access: open (constituent sets hosted separately) (class: open)
link (paper): https://ar5iv.labs.arxiv.org/html/2210.03370
other names: GNM training mix (General Navigation Model)
note: Teleop parts: GoStanford, SCAND, TartanDrive. RECON, CoryHall, Berkeley are autonomous. NeBula 10 h unreleased.

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