72 citations · 124 across the 10 of their papers we have counts for
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cs.RO2023★ 4 cited
Exploring Large Language Models as a Source of Common-Sense Knowledge for Robots
Felix Ocker, Jörg Deigmöller, Julian Eggert
Service robots need common-sense knowledge to help humans in everyday situations as it enables them to understand the context of their actions. However, approaches that use ontolog…
cs.RO2023★ 31 cited
CoPAL: Corrective Planning of Robot Actions with Large Language Models
Frank Joublin, Antonello Ceravola, Pavel Smirnov +7
In the pursuit of fully autonomous robotic systems capable of taking over tasks traditionally performed by humans, the complexity of open-world environments poses a considerable ch…