A Quantum Planner for Robot Motion
The possibility of integrating quantum computation in a traditional system appears to be a viable route to drastically improve the performance of systems endowed with artificial intelligence. An example of such processing consists of implementing a teleo-reactive system employing quantum computing....
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Language: | English |
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MDPI AG
2022-07-01
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Series: | Mathematics |
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Online Access: | https://www.mdpi.com/2227-7390/10/14/2475 |
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author | Antonio Chella Salvatore Gaglio Giovanni Pilato Filippo Vella Salvatore Zammuto |
author_facet | Antonio Chella Salvatore Gaglio Giovanni Pilato Filippo Vella Salvatore Zammuto |
author_sort | Antonio Chella |
collection | DOAJ |
description | The possibility of integrating quantum computation in a traditional system appears to be a viable route to drastically improve the performance of systems endowed with artificial intelligence. An example of such processing consists of implementing a teleo-reactive system employing quantum computing. In this work, we considered the navigation of a robot in an environment where its decisions are drawn from a quantum algorithm. In particular, the behavior of a robot is formalized through a production system. It is used to describe the world, the actions it can perform, and the conditions of the robot’s behavior. According to the production rules, the planning of the robot activities is processed in a recognize–act cycle with a quantum rule processing algorithm. Such a system aims to achieve a significant computational speed-up. |
first_indexed | 2024-03-09T10:15:15Z |
format | Article |
id | doaj.art-3e1383ff8ec34654a0b01dea73ea201a |
institution | Directory Open Access Journal |
issn | 2227-7390 |
language | English |
last_indexed | 2024-03-09T10:15:15Z |
publishDate | 2022-07-01 |
publisher | MDPI AG |
record_format | Article |
series | Mathematics |
spelling | doaj.art-3e1383ff8ec34654a0b01dea73ea201a2023-12-01T22:24:49ZengMDPI AGMathematics2227-73902022-07-011014247510.3390/math10142475A Quantum Planner for Robot MotionAntonio Chella0Salvatore Gaglio1Giovanni Pilato2Filippo Vella3Salvatore Zammuto4Dipartimento di Ingegneria (DID), Università degli Studi di Palermo, 90128 Palermo, ItalyDipartimento di Ingegneria (DID), Università degli Studi di Palermo, 90128 Palermo, ItalyIstituto di Calcolo e Reti ad Alte Prestazioni (ICAR), Consiglio Nazionale delle Ricerche (CNR), Via Ugo La Malfa 153, 90146 Palermo, ItalyIstituto di Calcolo e Reti ad Alte Prestazioni (ICAR), Consiglio Nazionale delle Ricerche (CNR), Via Ugo La Malfa 153, 90146 Palermo, ItalyDipartimento di Ingegneria (DID), Università degli Studi di Palermo, 90128 Palermo, ItalyThe possibility of integrating quantum computation in a traditional system appears to be a viable route to drastically improve the performance of systems endowed with artificial intelligence. An example of such processing consists of implementing a teleo-reactive system employing quantum computing. In this work, we considered the navigation of a robot in an environment where its decisions are drawn from a quantum algorithm. In particular, the behavior of a robot is formalized through a production system. It is used to describe the world, the actions it can perform, and the conditions of the robot’s behavior. According to the production rules, the planning of the robot activities is processed in a recognize–act cycle with a quantum rule processing algorithm. Such a system aims to achieve a significant computational speed-up.https://www.mdpi.com/2227-7390/10/14/2475quantum computingplanningrobotics |
spellingShingle | Antonio Chella Salvatore Gaglio Giovanni Pilato Filippo Vella Salvatore Zammuto A Quantum Planner for Robot Motion Mathematics quantum computing planning robotics |
title | A Quantum Planner for Robot Motion |
title_full | A Quantum Planner for Robot Motion |
title_fullStr | A Quantum Planner for Robot Motion |
title_full_unstemmed | A Quantum Planner for Robot Motion |
title_short | A Quantum Planner for Robot Motion |
title_sort | quantum planner for robot motion |
topic | quantum computing planning robotics |
url | https://www.mdpi.com/2227-7390/10/14/2475 |
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