Sfoglia per Autore
Intelligent Energy Management for Mobile Manipulators Using Machine Learning
2022 Antonelli, Dario; Aliev, Khurshid
Robust assembly task assignment in Human Robot Collaboration as a Markov Decision Process problem
2022 Antonelli, Dario; Aliev, Khurshid
Management of Laser-Cut Sheet-Metal Part Using Collaborative Robots
2022 Chiabert, Paolo; Aliev, Khurshid
Robust Adversarial Reinforcement Learning for Optimal Assembly Sequence Definition in a Cobot Workcell
2022 Alessio, Alessandro; Aliev, Khurshid; Antonelli, Dario
Using Adversarial Reinforcement Learning to Improve the Resilience of Human-Robot Collaboration in Industrial Assembly
2023 Antonelli, D.; Aliev, K.
Facilities components’ reliability & maintenance services self-rating through big data processing
2023 Piantanida, P; Villa, V; Vottari, A; Aliev, K
Exploring the limitations and potential of digital twins for mobile manipulators in industry
2024 Antonelli, Dario; Aliev, Khurshid; Soriano, Marco; Samir, Kousay; Monetti, Fabio Marco; Maffei, Antonio
Citazione | Data di pubblicazione | Autori | File |
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Intelligent Energy Management for Mobile Manipulators Using Machine Learning / Antonelli, Dario; Aliev, Khurshid. - In: FME TRANSACTIONS. - ISSN 1451-2092. - 50:4(2022), pp. 752-761. [10.5937/fme2204752A] | 1-gen-2022 | Antonelli DarioAliev Khurshid | 17_d._antonelli_et_al_2022.pdf |
Robust assembly task assignment in Human Robot Collaboration as a Markov Decision Process problem / Antonelli, Dario; Aliev, Khurshid. - ELETTRONICO. - 112:(2022), pp. 174-179. (Intervento presentato al convegno ICME) [10.1016/j.procir.2022.09.068]. | 1-gen-2022 | Antonelli, DarioAliev, Khurshid | 1-s2.0-S2212827122012318-main.pdf |
Management of Laser-Cut Sheet-Metal Part Using Collaborative Robots / Chiabert, Paolo; Aliev, Khurshid. - STAMPA. - 639 IFIP:(2022), pp. 59-73. (Intervento presentato al convegno Product Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations. PLM 2021. IFIP Advances in Information and Communication Technology, tenutosi a Cutiriba (Brazil) nel 11-14 July 2021) [10.1007/978-3-030-94335-6_5]. | 1-gen-2022 | Paolo ChiabertKhurshid Aliev | Final_129_Aliev_LaserCut With Cobots_V5.pdf |
Robust Adversarial Reinforcement Learning for Optimal Assembly Sequence Definition in a Cobot Workcell / Alessio, Alessandro; Aliev, Khurshid; Antonelli, Dario. - (2022), pp. 25-34. (Intervento presentato al convegno Manufacturing) [10.1007/978-3-030-99310-8_3]. | 1-gen-2022 | Alessandro AlessioKhurshid AlievDario Antonelli | MANUFACTURING_2022.pdf |
Using Adversarial Reinforcement Learning to Improve the Resilience of Human-Robot Collaboration in Industrial Assembly / Antonelli, D.; Aliev, K.. - 688 AICT:(2023), pp. 317-327. (Intervento presentato al convegno 24th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2023) [10.1007/978-3-031-42622-3_22]. | 1-gen-2023 | Antonelli D.Aliev K. | - |
Facilities components’ reliability & maintenance services self-rating through big data processing / Piantanida, P; Villa, V; Vottari, A; Aliev, K. - In: IOP CONFERENCE SERIES. EARTH AND ENVIRONMENTAL SCIENCE. - ISSN 1755-1307. - ELETTRONICO. - 1176:(2023), pp. 1-12. (Intervento presentato al convegno CIB W070 Conference on Facility Management and Maintenance 2023 tenutosi a Trondheim (NO) nel 8-11 May 2023) [10.1088/1755-1315/1176/1/012006]. | 1-gen-2023 | Piantanida, PVilla, VVottari, AAliev, K | Piantanida_2023_IOP_Conf._Ser. _Earth_Environ._Sci._1176_012006.pdf; _2023_IOP_Conf._Ser. _Earth_Environ._Sci._1176_011002.pdf |
Exploring the limitations and potential of digital twins for mobile manipulators in industry / Antonelli, Dario; Aliev, Khurshid; Soriano, Marco; Samir, Kousay; Monetti, Fabio Marco; Maffei, Antonio. - In: PROCEDIA COMPUTER SCIENCE. - ISSN 1877-0509. - 232:(2024), pp. 1121-1130. (Intervento presentato al convegno 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023) tenutosi a Lisbona (PT)) [10.1016/j.procs.2024.01.110]. | 1-gen-2024 | Antonelli, DarioAliev, KhurshidSoriano, Marco + | 1-s2.0-S1877050924001108-main.pdf |
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