Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Tatiana Martins Pinho"'
Autor:
Francisco Oliveira, Daniel Queirós da Silva, Vítor Filipe, Tatiana Martins Pinho, Mário Cunha, José Boaventura Cunha, Filipe Neves dos Santos
Publikováno v:
Sensors, Vol 24, Iss 21, p 6774 (2024)
Automating pruning tasks entails overcoming several challenges, encompassing not only robotic manipulation but also environment perception and detection. To achieve efficient pruning, robotic systems must accurately identify the correct cutting point
Externí odkaz:
https://doaj.org/article/21cf39d3f64940369c4b72eaa4a8d7d0
Autor:
Marta Godinho, Danilo Rabino, Filipe Neves dos Santos, Tatiana Martins Pinho, Davide Allochis, Mario Cunha, José Boaventura
Publikováno v:
D6.4: Guidelines and communication plan for integration workshops and final pilot, pp.1–23, 2022
This document was developed as part of the "Cost effective robots for smart precision spraying" - SCORPION - project, funded by the European Union's Horizon 2020 research and innovation programme under Grant Agreement nº 101004085. This document out
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=cnr_________::600eb9812fabba083deb14842b74e0fc
https://publications.cnr.it/doc/463444
https://publications.cnr.it/doc/463444
Autor:
Oliveira, Francisco1,2 (AUTHOR) daniel.q.silva@inesctec.pt, da Silva, Daniel Queirós2 (AUTHOR) tatiana.m.pinho@inesctec.pt, Filipe, Vítor1,2 (AUTHOR) jboavent@utad.pt, Pinho, Tatiana Martins2 (AUTHOR) filipe.n.santos@inesctec.pt, Cunha, Mário2,3 (AUTHOR), Cunha, José Boaventura1,2 (AUTHOR), dos Santos, Filipe Neves2 (AUTHOR)
Publikováno v:
Sensors (14248220). Nov2024, Vol. 24 Issue 21, p6774. 18p.