Zobrazeno 1 - 10
of 285
pro vyhledávání: '"Luigi Palopoli"'
Publikováno v:
Sensors, Vol 24, Iss 15, p 4981 (2024)
We consider a complex control problem: making a monopod accurately reach a target with a single jump. The monopod can jump in any direction at different elevations of the terrain. This is a paradigm for a much larger class of problems, which are extr
Externí odkaz:
https://doaj.org/article/80d74ca46527447fa272c0d1b1d9214f
Autor:
Alessandro Antonucci, Gastone Pietro Rosati Papini, Paolo Bevilacqua, Luigi Palopoli, Daniele Fontanelli
Publikováno v:
IEEE Access, Vol 10, Pp 144-157 (2022)
Generating accurate and efficient predictions for the motion of the humans present in the scene is key to the development of effective motion planning algorithms for robots moving in promiscuous areas, where wrong planning decisions could generate sa
Externí odkaz:
https://doaj.org/article/51d89e8422e5430cae89d49d8e5cff65
FEDRO: a software tool for the automatic discovery of candidate ORFs in plants with c →u RNA editing
Autor:
Fabio Fassetti, Claudia Giallombardo, Ofelia Leone, Luigi Palopoli, Simona E. Rombo, Adolfo Saiardi
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S4, Pp 1-7 (2019)
Abstract Background RNA editing is an important mechanism for gene expression in plants organelles. It alters the direct transfer of genetic information from DNA to proteins, due to the introduction of differences between RNAs and the corresponding c
Externí odkaz:
https://doaj.org/article/8fc7c072d9e747029b18d699d71cac0f
Autor:
Farhad Shamsfakhr, Andrea Motroni, Luigi Palopoli, Alice Buffi, Paolo Nepa, Daniele Fontanelli
Publikováno v:
Sensors, Vol 21, Iss 3, p 717 (2021)
Autonomous vehicles enable the development of smart warehouses and smart factories with an increased visibility, flexibility and efficiency. Thus, effective and affordable localisation methods for indoor vehicles are attracting interest to implement
Externí odkaz:
https://doaj.org/article/17450edbf20f46b4920d923c0477c87b
Publikováno v:
IEEE Robotics and Automation Letters. 8:240-247
This letter proposes a distributed strategy to achieve both persistent monitoring and target detection in a rectangular and obstacle-free environment. Each robot has to repeatedly follow a smooth trajectory and avoid collisions with other robots. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f6f05764b8fccc8ea1624f95008ef8d
https://doi.org/10.1109/lra.2022.3224661
https://doi.org/10.1109/lra.2022.3224661
Publikováno v:
IEEE Control Systems Letters. 7:1530-1535
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46aa7ea71074a30c87f3f391dbfa2adf
https://doi.org/10.1109/lcsys.2023.3274448
https://doi.org/10.1109/lcsys.2023.3274448
Autor:
Alessandro Luchetti, Mariolino De Cecco, Matteo Perotto, Paolo Bosetti, Daniele Fontanelli, Luigi Palopoli, Fabiano Zenatti, Matteo Zanetti, Luca Maule, Mattia Tavernini
Publikováno v:
Global Journal of Researches in Engineering. :27-36
The goal of this work is to present an innovative design for a smart robotic gripper, which is able to grasp different randomly deployed prismatic and cylindrical packages and orient them through a mechanically passive alignment system with sensing c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffe9b3bf85feb1efa34979900496979c
https://doi.org/10.34257/gjreavol22is2pg27
https://doi.org/10.34257/gjreavol22is2pg27
Publikováno v:
Applied Intelligence. 52:17534-17556
In this work we deal with the problem of detecting and explaining anomalous values in categorical datasets. We take the perspective of perceiving an attribute value as anomalous if its frequency is exceptional within the overall distribution of frequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6ffa8dee529a725be1e1f6701d6206b
https://doi.org/10.1007/s10489-022-03271-3
https://doi.org/10.1007/s10489-022-03271-3
Publikováno v:
IEEE Control Systems Letters. 6:2798-2803
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::811e945e03bbdc836c9734c69759d8cc
https://doi.org/10.1109/lcsys.2022.3178294
https://doi.org/10.1109/lcsys.2022.3178294
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0c39b444b5a70db80ec90e83141fdb1
https://doi.org/10.1109/tim.2022.3147316
https://doi.org/10.1109/tim.2022.3147316