Baza Publikacji Pracowników Politechniki Lubelskiej

Status:
Autorzy:	Rea Pierluigi, Ottaviano Erika, Antosz Katarzyna, Kozłowski Edward, Lopes Helena, Machado José
Dyscypliny:
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Rok wydania:	2025
Wersja dokumentu:	Drukowana \| Elektroniczna
Język:	angielski
Numer czasopisma:	1
Wolumen/Tom:	24
Strony:	29 - 40
Impact Factor:	2,6
Web of Science® Times Cited:	0
Scopus® Cytowania:	0
Bazy:	Web of Science \| Scopus
Efekt badań statutowych	NIE
Finansowanie:	This work was supported by the project “New frontiers in adaptive modular robotics for patient-centered medical rehabilitation – ASKLEPIOS”, funded by the European Union – NextGenerationEU and the Romanian Government, under the National Recovery and Resilience Plan for Romania, contract no. 760071/23.05.2023, code CF 121/15.11.2022, with the Romanian Ministry of Research, Innovation, and Digitalization, within Component 9, investment I8; and by Fundação para a Ciência e Tecnologia (FCT) within the RD Units Project Scope: UIDP/04077/2020 and UIDB/04077/2020.
Materiał konferencyjny:	NIE
Publikacja OA:	TAK
Licencja:
Sposób udostępnienia:	Otwarte czasopismo
Wersja tekstu:	Ostateczna wersja opublikowana
Czas opublikowania:	W momencie opublikowania
Data opublikowania w OA:	2 marca 2025
Abstrakty:	angielski
	Autonomous robots are of utmost importance across various research fields and have numerous practical applications. They can be used in scenarios such as rescue operations, security, safety management, and interventions in hazardous or hostile environments, among others. A key application of these robots is overcoming obstacles in extreme conditions, especially when human intervention is either impossible or not permitted. This paper presents modelling and simulation results based on a mathematical tool developed through systematic data acquisition and analysis, ensuring the safe operation of a robot designed to assist its pilot. The proposed predictive model is built using data collected from the robot's sensors, which are stored in a dedicated database. This data includes information on position, velocity, and acceleration, as well as their handling and processing in the presence of obstacles. The paper also includes a case study, with results that can serve as a predictive model applicable to similar conditions.

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Simulation of Robotic Inspections Based on Systematic Data Acquisition and Analysis

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