activity
20152023
most citedCooperative Multi-Agent Planning: A Survey

122 citations · 266 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CL2023★ 5 cited

Multimodal Classification of Teaching Activities from University Lecture Recordings

Oscar Sapena, Eva Onaindia

The way of understanding online higher education has greatly changed due to the worldwide pandemic situation. Teaching is undertaken remotely, and the faculty incorporate lecture a…

cs.RO2021★ 15 cited

Spillover Algorithm: A Decentralized Coordination Approach for Multi-Robot Production Planning in Open Shared Factories

Marin Lujak, Alberto Fernández, Eva Onaindia

Open and shared manufacturing factories typically dispose of a limited number of robots that should be properly allocated to tasks in time and space for an effective and efficient…

cs.AI2019★ 2 cited

A context-aware knowledge acquisition for planning applications using ontologies

Mohannad Babli, Eva Onaindia

Automated planning technology has developed significantly. Designing a planning model that allows an automated agent to be capable of reacting intelligently to unexpected events in…

cs.AI2019★ 1 cited

Extending planning knowledge using ontologies for goal opportunities

Mohannad Babli, Eva Onaindia, Eliseo Marzal

Approaches to goal-directed behaviour including online planning and opportunistic planning tackle a change in the environment by generating alternative goals to avoid failures or s…

cs.AI2019★ 1 cited

Learning STRIPS Action Models with Classical Planning

Diego Aineto, Sergio Jiménez, Eva Onaindia

This paper presents a novel approach for learning STRIPS action models from examples that compiles this inductive learning task into a classical planning task. Interestingly, the c…

cs.AI2017★ 122 cited

Cooperative Multi-Agent Planning: A Survey

Alejandro Torreño, Eva Onaindia, Antonín Komenda +1

Cooperative multi-agent planning (MAP) is a relatively recent research field that combines technologies, algorithms and techniques developed by the Artificial Intelligence Planning…