2 citations · 5 across the 3 of their papers we have counts for
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cs.AI2023★ 2 cited
Planning for Learning Object Properties
Leonardo Lamanna, Luciano Serafini, Mohamadreza Faridghasemnia +4
Autonomous agents embedded in a physical environment need the ability to recognize objects and their properties from sensory data. Such a perceptual ability is often implemented by…
cs.AI2021★ 2 cited
Online Grounding of Symbolic Planning Domains in Unknown Environments
Leonardo Lamanna, Luciano Serafini, Alessandro Saetti +2
If a robotic agent wants to exploit symbolic planning techniques to achieve some goal, it must be able to properly ground an abstract planning domain in the environment in which it…