318 citations · 416 across the 5 of their papers we have counts for
6 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 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…
Novelty Messages Filtering for Multi Agent Privacy-preserving Planning
Alfonso E. Gerevini, Nir Lipovetzky, Nico Peli +3
In multi-agent planning, agents jointly compute a plan that achieves mutual goals, keeping certain information private to the individual agents. Agents' coordination is achieved th…
Best-First Width Search for Multi Agent Privacy-preserving Planning
Alfonso E. Gerevini, Nir Lipovetzky, Francesco Percassi +2
In multi-agent planning, preserving the agents' privacy has become an increasingly popular research topic. For preserving the agents' privacy, agents jointly compute a plan that ac…
An Approach to Temporal Planning and Scheduling in Domains with Predictable Exogenous Events
A. Gerevini, A. Saetti, I. Serina
The treatment of exogenous events in planning is practically important in many real-world domains where the preconditions of certain plan actions are affected by such events. In th…
Planning Through Stochastic Local Search and Temporal Action Graphs in LPG
A. Gerevini, A. Saetti, I. Serina
We present some techniques for planning in domains specified with the recent standard language PDDL2.1, supporting 'durative actions' and numerical quantities. These techniques are…