Výsledky vyhledávání - "timeline-based planning"

Complexity issues for timeline-based planning over dense time under future and minimal semantics

Autor: Bozzelli L., Montanari A., Peron A.

The problem of timeline-based planning (TP) over dense temporal domains is known to be undecidable in the general case. We first prove that the restriction to the future semantics does not suffice to recover decidability. Then, we introduce two seman

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46d3cfc9c663666d60c261d234dbe4ef
http://hdl.handle.net/11588/866809

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TENANT: a Tool for Easily Modeling Task Planning Problems for Human-Robot Collaboration

Autor: Foderaro, Elisa, Cesta, Amedeo, Umbrico, Alessandro, Orlandini, Andrea

For an effective deployment in manufacturing, Col- laborative Robots should be capable of adapting their behavior to the state of the environment and to keep the user safe and engaged during the interaction. Artificial Intelligence (AI) enables robot

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On timeline-based games and their complexity

Autor: Marta Cialdea Mayer, Mark Reynolds, Andrea Orlandini, Nicola Gigante, Angelo Montanari

Publikováno v: Theoretical computer science 815 (2020): 247–269. doi:10.1016/j.tcs.2020.02.011
info:cnr-pdr/source/autori:Gigante, Nicola; Montanari, Angelo; Orlandini, Andrea; Mayer, Marta Cialdea; Reynolds, Mark/titolo:On timeline-based games and their complexity/doi:10.1016%2Fj.tcs.2020.02.011/rivista:Theoretical computer science/anno:2020/pagina_da:247/pagina_a:269/intervallo_pagine:247–269/volume:815
Theoretical Computer Science

In timeline-based planning, domains are described as sets of independent, but interacting, components, whose behaviour over time (the set of timelines) is governed by a set of temporal constraints. A distinguishing feature of timeline-based planning

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39bc286a3a73abfba8289071b0a261a4
http://www.cnr.it/prodotto/i/421808

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A Layered Control Approach to Human-Aware Task and Motion Planning for Human-Robot Collaboration

Autor: Marco Faroni{1}, Manuel Beschi{2}, Stefano Ghidini{1, Nicola Pedrocchi{1}, Alessandro Umbrico{3}, Andrea Orlandini{3}, Amedeo Cesta{3}

Publikováno v: 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Aug 2020, Naples (virtual), Italy. ⟨10.1109/RO-MAN47096.2020.9223483⟩
29th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN 2020), pp. 1204–1210, Naples, Italy, 31/08/2020-04/09/2020
info:cnr-pdr/source/autori:Marco Faroni{1}, Manuel Beschi{2}, Stefano Ghidini{1,2}, Nicola Pedrocchi{1}, Alessandro Umbrico{3}, Andrea Orlandini{3}, Amedeo Cesta{3}/congresso_nome:29th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN 2020)/congresso_luogo:Naples, Italy/congresso_data:31%2F08%2F2020-04%2F09%2F2020/anno:2020/pagina_da:1204/pagina_a:1210/intervallo_pagine:1204–1210
RO-MAN

Combining task and motion planning efficientlyin human-robot collaboration (HRC) entails several challengesbecause of the uncertainty conveyed by the human behavior.Tasks plan execution should be continuously monitored andupdated based on the actual

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https://zenodo.org/record/4818514

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Design of Timeline-Based Planning Systems for Safe Human-Robot Collaboration

Autor: Orlandini, Andrea, Cialdea Mayer, Marta, Umbrico, Alessandro, Cesta, Amedeo

Publikováno v: Knowledge Engineering Tools and Techniques for AI Planning
Knowledge Engineering Tools and Techniques for AI Planning ISBN: 9783030385606
pp. 231–248. Cham, Heidelberg, New York, Dordrecht, London: Springer, 2020
info:cnr-pdr/source/autori:Orlandini, Andrea and Cialdea Mayer, Marta and Umbrico, Alessandro and Cesta, Amedeo/titolo:Design of Timeline-Based Planning Systems for Safe Human-Robot Collaboration/titolo_volume:/curatori_volume:/editore: /anno:2020

During the last decade, industrial collaborative robots have entered assembly cells supporting human workers in repetitive and physical demanding operations. Such human-robot collaboration (HRC) scenarios entail many open issues. The deployment of hi

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Lifted Heuristics for Timeline-based Planning

Autor: De Benedictis R., Cesta A.

Publikováno v: 24th European Conference on Artificial Intelligence-ECAI 2020, pp. 2330–2337, Santiago de Compostela, Spain, 29/8/2020-8/9/2020
info:cnr-pdr/source/autori:De Benedictis R.; Cesta A./congresso_nome:24th European Conference on Artificial Intelligence-ECAI 2020/congresso_luogo:Santiago de Compostela, Spain/congresso_data:29%2F8%2F2020-8%2F9%2F2020/anno:2020/pagina_da:2330/pagina_a:2337/intervallo_pagine:2330–2337

This paper discusses the issue of efficient resolution of timeline-based planning problems. In particular, taking inspiration from the more classical heuristics for the resolution of STRIPS-like problems, it proposes a new heuristic strategy which, w

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https://publications.cnr.it/doc/451187

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ROS-TiPlEx: A Collaborative Design Tool for Timeline-based Planning & Scheduling Applications with ROS

Autor: Carlo La Viola, Andrea Orlandini, Alessandro Umbrico, Amedeo Cesta

Publikováno v: 6th Italian Workshop on Artificial Intelligence and Robotics (AIRO 2019), Rende, Italia, 22/11/2019-22/11/2019
info:cnr-pdr/source/autori:Carlo La Viola, Andrea Orlandini, Alessandro Umbrico, Amedeo Cesta/congresso_nome:6th Italian Workshop on Artificial Intelligence and Robotics (AIRO 2019)/congresso_luogo:Rende, Italia/congresso_data:22%2F11%2F2019-22%2F11%2F2019/anno:2020/pagina_da:/pagina_a:/intervallo_pagine

This paper provides a quick overview of a Knowledge Engineering system, called ROS-TiPlEx (Timeline-based Planning and Execution with ROS), to provide a shared environment in which experts in robotics and planning can easily interact to, respectively

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http://ceur-ws.org/Vol-2594/short7.pdf

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Complexity of Qualitative Timeline-Based Planning

Autor: Della Monica, Dario, Gigante, Nicola, La Torre, Salvatore, Montanari, Angelo

The timeline-based approach to automated planning was originally developed in the context of space missions. In this approach, problem domains are expressed as systems consisting of independent but interacting components whose behaviors over time, th

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Undecidability of future timeline-based planning over dense temporal domains

Autor: Bozzelli, L., Molinari, A., Montanari, A., Peron, A.

Planning is one of the most studied problems in computer science. In this paper, we consider the timeline-based approach, where the domain is modeled by a set of independent, but interacting, components, identified by a set of state variables, whose

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca4f5f1b6ff09f3d3e2ab03d68aad3e9
https://hdl.handle.net/11368/3032611

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