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

2007

Improving Robustness of Spacecraft Downlink Schedules

Angelo Oddi, Nicola Policella

Source: IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews 37 (2007): 887–896. doi:10.1109/TSMCC.2007.900661, info:cnr-pdr/source/autori:Angelo Oddi; Nicola Policella/titolo:Improving Robustness of Spacecraft Downlink Schedules/doi:10.1109/TSMCC.2007.900661/rivista:IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews/anno:2007/pagi

Integrating Planning and Scheduling in Workflow Domain

R-Moreno, M. D., Borrajo, D., Cesta, A., Oddi

Source: Expert systems with applications 33 (2007): 389–406. doi:10.1016/j.eswa.2006.05.027, info:cnr-pdr/source/autori:R-Moreno, M. D., Borrajo, D., Cesta, A., and Oddi, A./titolo:Integrating Planning and Scheduling in Workflow Domain/doi:10.1016/j.eswa.2006.05.027/rivista:Expert systems with applications/anno:2007/pagina_da:389/pagina_a:406/int

MEXAR2: AI Solves Mission Planner Problems

Cesta, A., Cortellessa, G., Denis, M., Donati, A., Fratini, S., Oddi, A., Policella, N., Rabenau, E., Schulster, J.

Source: IEEE intelligent systems 22 (2007): 12–19. doi:10.1109/MIS.2007.75, info:cnr-pdr/source/autori:Cesta, A.; Cortellessa, G.; Denis, M.; Donati, A.; Fratini, S.; Oddi, A.; Policella, N.; Rabenau, E.; Schulster, J./titolo:MEXAR2: AI Solves Mission Planner Problems/doi:10.1109/MIS.2007.75/rivista:IEEE intelligent systems/anno:

Psychological implications of domestic assistive technology for the elderly

Cesta, A., Cortellessa, G., Giuliani, M.V., Pecora, F., Scopelliti, M., Tiberio, L.

Source: Psychnology 5 (2007): 229–252., info:cnr-pdr/source/autori:Cesta, A.; Cortellessa, G.; Giuliani, M.V.; Pecora, F.; Scopelliti, M.; Tiberio, L./titolo:Psychological implications of domestic assistive technology for the elderly/doi:/rivista:Psychnology/anno:2007/pagina_da:229/pagina_a:252

Synthesizing Proactive Assistance with Heterogeneous Agents

Cesta, A., Cortellessa, G., Pecora, F, Rasconi, R.

Source: Lecture notes in computer science 4733 (2007): 495–506. doi:10.1007/978-3-540-74782-6_43, info:cnr-pdr/source/autori:Cesta, A., Cortellessa, G., Pecora, F, and Rasconi, R./titolo:Synthesizing Proactive Assistance with Heterogeneous Agents/doi:10.1007/978-3-540-74782-6_43/rivista:Lecture notes in computer science/anno:2007/pagina_da:495/pagina_

Contributo in atti di convegno

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Additional info

Coordinatore

Researcher

Student&PhD

Technician

2007

Improving Robustness of Spacecraft Downlink Schedules

Integrating Planning and Scheduling in Workflow Domain

MEXAR2: AI Solves Mission Planner Problems

Psychological implications of domestic assistive technology for the elderly

Synthesizing Proactive Assistance with Heterogeneous Agents

2007

AI infusion at ESA-ESOC: The user perspective on MEXAR2

An Innovative Product for Space Mission Planning -- an a posteriori evaluation

Analysis of a Benchmark Generator for the Reactive Scheduling Problem

Applicazioni a supporto della terza età

Comparing Iterative Improvement Heuristics for Multi-Capacity Scheduling Problems

Coordinating Heterogeneous Agents to Synthesize Proactive Monitoring

Iterative Flattening Search for Multi-Capacity Scheduling Problems

Iterative Improvement Strategies for Multi-Capacity Scheduling Problems

MEXAR2 : a software tool for MARS EXPRESS data dumping activities

Multi-Component Framework for Planning and Scheduling Integration