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A Quantum Planner for Robot Motion

Antonio Chella, Salvatore Gaglio, Giovanni Pilato, Filippo Vella and Salvatore Zammuto
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Antonio Chella: Dipartimento di Ingegneria (DID), Università degli Studi di Palermo, 90128 Palermo, Italy
Salvatore Gaglio: Dipartimento di Ingegneria (DID), Università degli Studi di Palermo, 90128 Palermo, Italy
Giovanni Pilato: Istituto di Calcolo e Reti ad Alte Prestazioni (ICAR), Consiglio Nazionale delle Ricerche (CNR), Via Ugo La Malfa 153, 90146 Palermo, Italy
Filippo Vella: Istituto di Calcolo e Reti ad Alte Prestazioni (ICAR), Consiglio Nazionale delle Ricerche (CNR), Via Ugo La Malfa 153, 90146 Palermo, Italy
Salvatore Zammuto: Dipartimento di Ingegneria (DID), Università degli Studi di Palermo, 90128 Palermo, Italy

Mathematics, 2022, vol. 10, issue 14, 1-29

Abstract: 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.

Keywords: quantum computing; planning; robotics (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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