2 citations · 5 across the 3 of their papers we have counts for
3 papers
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…
Online Learning of Reusable Abstract Models for Object Goal Navigation
Tommaso Campari, Leonardo Lamanna, Paolo Traverso +2
In this paper, we present a novel approach to incrementally learn an Abstract Model of an unknown environment, and show how an agent can reuse the learned model for tackling the Ob…
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…