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Human-robot collaboration requires the contactless estimation of the physical properties of containers manipulated by a person, for example while pouring content in a cup or moving a food box. Acoustic and visual signals can be used to estimate the p
Externí odkaz:
http://arxiv.org/abs/2203.01977
Robotic perception is becoming an important component for automation in the meat processing industry. Whether for contaminant detection or automatic cutting, multimodal perception systems, in particular, based on hyperspectral imaging have the abilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::4d0dcc25504388a039f938df4adeed03
https://hdl.handle.net/10453/164273
https://hdl.handle.net/10453/164273
Human-robot collaboration requires the contactless estimation of the physical properties of containers manipulated by a person, for example while pouring content in a cup or moving a food box. Acoustic and visual signals can be used to estimate the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2aa42803fc1d198b8f7cf7a1bca78d40
http://arxiv.org/abs/2203.01977
http://arxiv.org/abs/2203.01977
Structured light-based depth sensors provide accurate depth information independently of the scene appearance by extracting pattern positions from the captured pixel intensities. Spatial neighborhood encoding, in particular, is a popular structured l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::8802ee7e900e2e21def022aa0127bc87
https://hdl.handle.net/10453/167360
https://hdl.handle.net/10453/167360
Automating the process of wool handling has the potential to drastically improve the productivity of on-farm operations that would result in significant cost savings for wool growers. Towards this goal, we present a method to automatically extract th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::43a6732d829c3c40d24dc9367d5f9a51
https://hdl.handle.net/10453/151937
https://hdl.handle.net/10453/151937
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Object models are highly useful for robots as they enable tasks such as detection, pose estimation and manipulation. However, models are not always easily available, especially in real-world domains of operation such as peoples' homes. This work pres
Autor:
Montagnoli, G., Stefanini, A.M., Jiang, C.L., Colucci, G., Bottoni, S., Brugnara, D., Čolović, P., Corradi, L., Fioretto, E., Galtarossa, F., Goasduff, A., Khwairakpam, O.S., Heine, M., Jaworski, G., Mazzocco, M., Mijatović, T., Siciliano, M., Scarlassara, F., Szilner, S., Van Patten, T., Zanon, I.
Publikováno v:
Physical Review C
Physical Review C, American Physical Society, 2020, 101 (4), pp.044608. ⟨10.1103/PhysRevC.101.044608⟩
Physical Review C, American Physical Society, 2020, 101 (4), pp.044608. ⟨10.1103/PhysRevC.101.044608⟩
International audience; Background: The phenomenon of fusion hindrance may have important consequences on the nuclear processes occurring in astrophysical scenarios, if it is a general behavior of heavy-ion fusion at extreme subbarrier energies, incl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::13638577ac96cec10d8f097cf89405d2
https://hal.archives-ouvertes.fr/hal-02564587
https://hal.archives-ouvertes.fr/hal-02564587
Autor:
Montagnoli, G., Stefanini, A. M., Jiang, C. L., Colucci, G., Bottoni, S., Brugnara, D., Čolović, P., Corradi, L., Fioretto, E., Galtarossa, F., Goasduff, A., Khwairakpam, O. S., Heine, M., Jaworski, G., Mazzocco, M., Mijatović, T., Siciliano, M., Scarlassara, F., Szilner, S., Van Patten, T., Zanon, I.
Background: The phenomenon of fusion hindrance may have important consequences on the nuclear processes occurring in astrophysical scenarios, if it is a general behavior of heavy-ion fusion at extreme subbarrier energies, including reactions involvin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3a7f24d4903a3d0477a0ef4737950dee
https://doi.org/10.1103/physrevc.101.044608
https://doi.org/10.1103/physrevc.101.044608
Akademický článek
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© The Author(s) 2018. We propose a decentralized variant of Monte Carlo tree search (MCTS) that is suitable for a variety of tasks in multi-robot active perception. Our algorithm allows each robot to optimize its own actions by maintaining a probabi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::b53836cc08f79b4591e0a6588b51d865
https://hdl.handle.net/10453/135053
https://hdl.handle.net/10453/135053