Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Durand Petiteville, A."'
Publikováno v:
In Robotics and Autonomous Systems October 2024 180
Autor:
da Silva, Adriel F.L.A. *, Araújo, Aluizio F.R. *, Durand-Petiteville, Adrien ⁎⁎, Mendes, Cicero S.R. *
Publikováno v:
In IFAC PapersOnLine 2023 56(2):5041-5046
Autor:
Durand-Petiteville, A. a, ⁎, Cadenat, V. b, c
Publikováno v:
In Computers and Electrical Engineering September 2022 102
Autor:
Gonçalves, Antônio R.C. ⁎, Guerrero-Peña, Elaine ⁎, Araújo, Aluizio F.R. ⁎, Durand-Petiteville, Adrien ⁎⁎
Publikováno v:
In IFAC PapersOnLine 2020 53(2):7921-7926
Publikováno v:
European Control Conference (ECC 2022)
European Control Conference (ECC 2022), Jul 2022, Londres, United Kingdom. ⟨10.23919/ECC55457.2022.9838241⟩
European Control Conference (ECC 2022), Jul 2022, Londres, United Kingdom. ⟨10.23919/ECC55457.2022.9838241⟩
International audience; This work aims at designing a visual predictive control (VPC) scheme for a mobile manipulator. It consists in combining image-based visual servoing with model predictive control to benefit from the advantages of both control s
Publikováno v:
IEEE/ASME international conference on Advanced Intelligent Mechatronics (AIM)
IEEE/ASME international conference on Advanced Intelligent Mechatronics (AIM), Jul 2022, Sapporo, Japan. ⟨10.1109/AIM52237.2022.9863243⟩
IEEE/ASME international conference on Advanced Intelligent Mechatronics (AIM), Jul 2022, Sapporo, Japan. ⟨10.1109/AIM52237.2022.9863243⟩
International audience; This paper deals with autonomous navigation through orchards. It proposes a strategy based on a sensorbased model predictive control law coupled with a spiral-based framework allowing to deal in a similar manner with the two m
Autor:
A. Durand-Petiteville, V. Cadenat
Publikováno v:
Journal of Intelligent & Robotic Systems. 105
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Adrien Durand-Petiteville, Antônio R.C. Gonçalves, Aluizio F. R. Araújo, Elaine Guerrero-Peña
Publikováno v:
IFAC-PapersOnLine. 53:7921-7926
Trajectory planning is a crucial issue for robotics. In recent years, researchers have used meta-heuristics, such as Multi-Objective Evolutionary Algorithms (MOEAs), to handle it. However, despite the numerous favorable features of EAs, research is n
Autor:
A. Durand-Petiteville, V. Cadenat
Publikováno v:
Computers and Electrical Engineering. 102:108120