Show simple item record

dc.contributor.authorVictor Lockwood
dc.contributor.authorJohn Lindstedt
dc.contributor.authorBastian Tenbergen
dc.date.accessioned2024-10-31T20:35:12Z
dc.date.available2024-10-31T20:35:12Z
dc.date.issued2024
dc.identifier.urihttp://hdl.handle.net/20.500.12648/15659
dc.description.abstractGPT-4 Turbo Vision, a large language model (LLM), presents unique opportunities to investigate embodied cognition. We present a system that allows the LLM to be “embodied� in its environment via a robot. We conduct a mirror test and find that the LLM is able to recognize itself in the mirror.
dc.language.isoen_US
dc.titleEmbodied Cognition and Self-Concept of GPT-4 Turbo Vision through Robotics
dc.typePoster
refterms.dateFOA2024-10-31T20:35:12Z
dc.description.departmentComputer Science


Files in this item

Thumbnail
Name:
FRS_2024_46.pdf
Size:
411.0Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record