Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Nicola, Castaman"'
Publikováno v:
IEEE Access, Vol 8, Pp 222476-222485 (2020)
Increasing the flexibility of robots needs systems more capable in perceiving and interacting with the environment. A challenge is still to easy design the robotic system around the application, especially when the objects to be manipulated are bulky
Externí odkaz:
https://doaj.org/article/3c8f334bd7b04d3ebe372fc48afc117d
Vision guided robots are enjoying growing success in industry, thanks to their adaptability to unstructured contexts and applications. In typical bin-picking applications, a robot is guided to pick known rigid objects randomly placed inside a contain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25a2b2a72775da0b7c1d7173e42800fd
Publikováno v:
IEEE Transactions on Robotics. 37:877-892
Robotics systems are becoming more and more autonomous and reconfigurable. In this context, the design of algorithms capable of deriving kinematics and dynamics models directly from data could be particularly useful. In this article, we present an al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a383bb273d271dae33697088d8834a0
https://doi.org/10.1109/tro.2020.3038690
https://doi.org/10.1109/tro.2020.3038690
Autor:
Loris Roveda, Gloria Farinella, Marco Maccarini, Filippo Pura, Nicola Castaman, Blerina Spahiu, Asad Ali Shahid, Mattia Marconi, Oscar Ferrato, Francesco Braghin, Dario Piga
Artificial intelligence algorithms can be exploited to enhance identification, localization, and grasping performance in robotics applications, employing low-cost vision systems (such as 2D cameras). The aim of this paper is, indeed, to optimize the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc7fb89de130e9ce8c65a71054bbda23
https://hdl.handle.net/10281/416778
https://hdl.handle.net/10281/416778
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030958916
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e076bd7d9049b09e4e27a59f3936aa
https://hdl.handle.net/11577/3457028
https://hdl.handle.net/11577/3457028
Autor:
Nicola Castaman, Alberto Cenzato, Stefano Tonello, Emanuele Menegatti, Stefano Ghidoni, Alberto Pretto
Vision guided robots are enjoying growing success in industry and logistics, thanks to their adaptability to unstructured contexts and applications. The bin-picking problem is a prominent example in this trend. In typical bin-picking applications, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1829f59da4dd3ac7f32acb2b8011d37f
The D4.2 is organized into three main subsections: - Section 2 reports the achievements for each sub-task of the complete scenario, expressed through simple metrics like success rate, and execution time. A short description of the experiments done to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::6c0e4d22c401a349d612a38cf5121274
http://www.cnr.it/prodotto/i/420807
http://www.cnr.it/prodotto/i/420807
Autor:
Stefano Ghidoni, Silvia Gandin, Elisa Tosello, Marco Carraro, Morris Antonello, Nicola Bagarello, Nicola Castaman, Emanuele Menegatti, Roberto Bortoletto, Enrico Pagello, Matteo Munaro
This paper proposes RUR53: an Unmanned Ground Vehicle able to autonomously navigate through, identify, and reach areas of interest; and there recognize, localize, and manipulate work tools to perform complex manipulation tasks. The proposed contribut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb0871ace4f38ccca4ab0efb9792e6a8
http://hdl.handle.net/11577/3356080
http://hdl.handle.net/11577/3356080
Publikováno v:
ICRA
Within the Industry 4.0 context, industrial robots need to show increasing autonomy. The manipulator has to be able to react to uncertainties/changes in the working environment, displaying a robust behavior. In this paper, a control framework is prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aaa5da4b03d681179c84b5cc39cda47e
http://hdl.handle.net/11577/3342003
http://hdl.handle.net/11577/3342003
Publikováno v:
Robotics and Autonomous Systems. 145:103863
Complex manipulation tasks require careful integration of symbolic reasoning and motion planning. This problem, commonly referred to as Task and Motion Planning (TAMP), is even more challenging if the workspace is non-static, e.g. due to human interv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd2fa02578fe586a563134854d078cf6
https://doi.org/10.1016/j.robot.2021.103863
https://doi.org/10.1016/j.robot.2021.103863