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

Articolo

2003

Generating High Quality Schedules for a Spacecraft Memory Downlink Problem

Oddi A., Policella N., Cesta A., Cortellessa G.

Source: Lecture notes in computer science 2833 (2003): 570–584., info:cnr-pdr/source/autori:Oddi A., Policella N., Cesta A. and Cortellessa G./titolo:Generating High Quality Schedules for a Spacecraft Memory Downlink Problem/doi:/rivista:Lecture notes in computer science/anno:2003/pagina_da:570/pagina_a:584/intervallo_

Il ruolo dell'Ontologia nella disambiguazione del significato

Oltramari A., Borgo S., Catenacci C., Ferrario R., Gangemi A., Guarino N., Masolo C., Pisanelli D.

Source: 2 (2003): 14–24., info:cnr-pdr/source/autori:Oltramari A., Borgo S., Catenacci C., Ferrario R., Gangemi A., Guarino N., Masolo C., Pisanelli D./titolo:Il ruolo dell'Ontologia nella disambiguazione del significato/doi:/rivista:/anno:2003/pagina_da:14/pagina_a:24/intervallo_

Integrated Planning and Scheduling in the RoboCare Project

Cesta A., Pecora F.

Source: 6 (2003): 11–14., info:cnr-pdr/source/autori:Cesta A., and Pecora F./titolo:Integrated Planning and Scheduling in the RoboCare Project/doi:/rivista:/anno:2003/pagina_da:11/pagina_a:14/intervallo_pagine:11–14/volume:6

MEXAR: Integrated AI Technologies to Support MARS EXPRESS Mission Planning

Cortellessa G., Policella N., Cesta A., Oddi A.

Source: 5 (2003): 29–33., info:cnr-pdr/source/autori:Cortellessa G., Policella N., Cesta A., and Oddi A./titolo:MEXAR: Integrated AI Technologies to Support MARS EXPRESS Mission Planning/doi:/rivista:/anno:2003/pagina_da:29/pagina_a:33/intervallo_pagine:29–33/volume:5

Negoziati di significato

Oltramari, A., Borgo, S., Catenacci, C., Ferrario, R., Gangemi, A., Guarino, N., Masolo, C., Pisanelli, D. M.

Source: 3 (2003): 419–428., info:cnr-pdr/source/autori:Oltramari, A.; Borgo, S.; Catenacci, C.; Ferrario, R.; Gangemi, A.; Guarino, N.; Masolo, C.; Pisanelli, D. M./titolo:Negoziati di significato/doi:/rivista:/anno:2003/pagina_da:419/pagina_a:428/intervallo_pagine:419–428/volume:3

The RoboCare Project, Multi-Agent Systems Systems for the Care of the Elderly

Cesta A., Pecora F.

Source: 53 (2003): 33–34., info:cnr-pdr/source/autori:Cesta A., and Pecora F./titolo:The RoboCare Project, Multi-Agent Systems Systems for the Care of the Elderly/doi:/rivista:/anno:2003/pagina_da:33/pagina_a:34/intervallo_pagine:33–34/volume:53

The Role of Different Solvers in Planning and Scheduling Integration

Pecora F. and Cesta A.

Source: Lecture notes in computer science 2829 (2003): 362–373. doi:10.1007/978-3-540-39853-0_30, info:cnr-pdr/source/autori:Pecora F. and Cesta A./titolo:The Role of Different Solvers in Planning and Scheduling Integration/doi:10.1007/978-3-540-39853-0_30/rivista:Lecture notes in computer science/anno:2003/pagina_da:362/pagina_a:373/intervallo_pagine

Contributo in atti di convegno

Additional info

Coordinatore

Researcher

Student&PhD

Technician

2003

Generating High Quality Schedules for a Spacecraft Memory Downlink Problem

Il ruolo dell'Ontologia nella disambiguazione del significato

Integrated Planning and Scheduling in the RoboCare Project

MEXAR: Integrated AI Technologies to Support MARS EXPRESS Mission Planning

Negoziati di significato

The RoboCare Project, Multi-Agent Systems Systems for the Care of the Elderly

The Role of Different Solvers in Planning and Scheduling Integration

2003

A Component-Based Framework for Loosely-Coupled Planning and Scheduling Integrations

A European Roadmap for Applying Intelligent Planning and Scheduling in Aerospace Domains

An Interactive Problem Solving Tool for Mission Planning

Analyzing Features of Multi-Robot Systems. An Initial Step for the RoboCare Project

Constraint-Based Random Search for Solving Spacecraft Downlink Scheduling Problems

CSPs at Work, Relevance of Interaction Modules to Deploy Applications

Execution Monitoring and Schedule Revision for O-OSCAR: A Preliminary Report

Features and Benefits Analysis of AI Planning and Scheduling Technologies for Space Missions