Planning and Scheduling Technology Laboratory

The laboratory synthesizes technology to empower humans in performing both difficult and everyday tasks. We were born as a group studying automated problem solving with AI techniques. We have extended our interests to artificial systems that together with humans create a mixed-initiative interaction space.

At present we study autonomous and interactive systems, innovative technologies for aging well, human-robot interaction and the automated solution of complex dynamic problems.

Web page:

http://pst.istc.cnr.it/

validation & verification

User Evaluation

timeline-based reasoning

Reasoning for Autonomy

Mixed-Initiative Planning and Scheduling

ICT supports for the aging people

Human-Robot Interaction

Human-Computer Interaction

health systems

constraint-based reasoning

automated problem solving

artificial Intelligence

ambient assisted living

Additional info

Profile

The Planning and Scheduling Technology (PST) Lab has been founded in 1997 as a research group focused on automated and interactive techniques for planning problems. We have obtained results on specialized constraint reasoning, (meta) heuristics for scheduling, mixed-initiative problem solving, timeline-based planning. The group has been involved for over ten years in a collaboration with the European Space Agency (ESA). Three of our problem solving tools are in continuous daily use in the mission planning ground facility at ESA-ESOC, Darmstadt. During the last five years we have broadened our research interests toward new areas thus acquiring competences in robotics, ambient assisted living, cognitive systems for training, and health systems for aging well. In FP7 we have projects in different topics (Space, ICT, Security, and AAL).

Associates

Stephen F. Smith, CMU - Carnegie Mellon University, Robotics Institute

Members

Former Members:

Simone Fratini (PhD 2006) ESA - European Space Agency, Germany
Marcelo Oglietti (PhD 2005) CONAE - Argentine Space Agency
Nicola Policella (PhD 2005) ESA - European Space Agency, Germany
Federico Pecora (PhD 2007) Orebro University, Sweden
Lorenza Tiberio (PhD 2014) CCNP SAN PAOLO

Publications

Contributo in atti di convegno

2016

Timelines Are Expressive Enough to Capture Action-Based Temporal Planning

Gigante, Nicola, Montanari, Angelo, Mayer, Marta Cialdea, Orlandini, Andrea

Source: International symposium on temporal representation and reasoning (TIME), pp. 100–109, 17/10/2016, 19/10/2016

Towards a planning-based framework for symbiotic human-robot collaboration

Cesta, Amedeo, Orlandini, Andrea, Bernardi, Giulio, Umbrico, Alessandro

Source: IEEE International Conference on Emerging Technology and Factory Automation (ETFA 2016), Berlin, Germany, 6-9/9/2016

Towards a Planning-based Framework for Symbiotic Human-Robot Collaboration

Cesta, Amedeo, Orlandini, Andrea, Bernardi, Giulio, Umbrico, Alessandro

Source: ETFA, Berlino, Settembre 2016

2015

A Framework for Performance Assessment of Autonomous Robotic Controllers

Munoz, Pablo, Cesta, Amedeo, Orlandini, Andrea, Rodriguez-Moreno, Maria Dolores

Source: 3rd ICAPS Workshop on Planning and Robotics (PlanRob 2015), pp. 53–62, Jerusalem, Israel, June 7-8, 2015

A Multi-Objective Large Neighborhood Search Methodology for Scheduling Problems with Energy Costs

Oddi, Angelo, Rasconi, Riccardo, Cesta, Amedeo

Source: 27th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2015), Vietri sul Mare, Italy, November 9-11, 2015

An executable semantics of flexible plans in terms of timed game automata

Marta Cialdea Mayer, Andrea Orlandini

Source: International Symposium on Temporal Representation and Reasoning (TIME 2015), pp. 160–169, 2015

An Ontology-Based Domain Representation for Plan-Based Controllers in a Reconfigurable Manufacturing System

Borgo, Stefano, Cesta, Amedeo, Orlandini, Andrea, Umbrico, Alessandro

Source: Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, pp. 354–359, Hollywood, Florida, USA, May 18 - 20, 2015

Efficient Power-Aware Resource Constrained Scheduling and Execution for Planetary Rovers

Díaz, Daniel, Cesta, Amedeo, Oddi, Angelo, Rasconi, Riccardo, Rodriguez-Moreno, Maria Dolores

Source: XIVth International Conference of the Italian Association for Artificial Intelligence, pp. 383–396, Ferrara, Italy, September 23-25, 2015

Enriching a Temporal Planner with Resources and a Hierarchy-Based Heuristic

Umbrico, Alessandro, Orlandini, Andrea, Mayer, Marta Cialdea

Source: AIxIA, pp. 410–423, 23-25/09/2015

Articolo

2015

Scatter search with path relinking for the job shop with time lags and setup times

González, Miguel A., Oddi, Angelo, Rasconi, Riccardo, Varela, Ramiro

Source: Computers & operations research 60 (2015): 37–54. doi:10.1016/j.cor.2015.02.005, info:cnr-pdr/source/autori:González, Miguel A.; Oddi, Angelo; Rasconi, Riccardo; Varela, Ramiro/titolo:Scatter search with path relinking for the job shop with time lags and setup times/doi:10.1016/j.cor.2015.02.005/rivista:Computers & operations research

Libro o curatela