Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Karime Pereida"'
Publikováno v:
International Journal of Robust and Nonlinear Control. 31:8750-8784
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::655157b7e469ff800af3726aa23b3215
https://doi.org/10.1002/rnc.5712
https://doi.org/10.1002/rnc.5712
As robots venture into the real world, they are subject to unmodeled dynamics and disturbances. Traditional model-based control approaches have been proven successful in relatively static and known operating environments. However, when an accurate mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b8f0bd199145690a286290418b49c78
Publikováno v:
IROS
Mobile manipulators consist of a mobile platform equipped with one or more robot arms and are of interest for a wide array of challenging tasks because of their extended workspace and dexterity. Typically, mobile manipulators are deployed in slow-mot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b011788cebf2a0c3bc53be40437e4c2d
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 33:388-409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1064f94649f8c4bc943223e14e52c829
https://doi.org/10.1002/acs.2887
https://doi.org/10.1002/acs.2887
Autor:
Karime Pereida, Angela P. Schoellig
Publikováno v:
IROS
Robots and automated systems are increasingly being introduced to unknown and dynamic environments where they are required to handle disturbances, unmodeled dynamics, and parametric uncertainties. Robust and adaptive control strategies are required t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac5354ac495c5821b9e63893990338e4
https://doi.org/10.1109/iros.2018.8594267
https://doi.org/10.1109/iros.2018.8594267
Publikováno v:
ICRA
As robots and other automated systems are introduced to unknown and dynamic environments, robust and adaptive control strategies are required to cope with disturbances, unmodeled dynamics and parametric uncertainties. In this paper, we propose and pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aef2fc0847134b52f340043052d83954
https://doi.org/10.1109/icra.2017.7989044
https://doi.org/10.1109/icra.2017.7989044
Transfer learning has the potential to reduce the burden of data collection and to decrease the unavoidable risks of the training phase. In this letter, we introduce a multirobot, multitask transfer learning framework that allows a system to complete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b00c88b6a6f02401c7654bf0a906ccb3
Autor:
Jose Guivant, Karime Pereida
Publikováno v:
AIM
This work proposes and illustrates an efficient path planning algorithm for non-holonomic multiple-trailer platforms. The goal is to find optimal paths according to different criteria using dense properties of a map and considering the robot's dynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3299a0fc7bfe72536b75f992fe2cd818
https://doi.org/10.1109/aim.2013.6584061
https://doi.org/10.1109/aim.2013.6584061
Publikováno v:
IPIN
Indoor and outdoor accurate 3D mapping is a relevant resource for a diversity of applications. This paper describes an autonomous platform capable of generating 3D imagery of the environment in unknown indoor and outdoor contexts. The system is compo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f790b410f84fd96fcbbe96555e51f2b2
https://doi.org/10.1109/ipin.2012.6418900
https://doi.org/10.1109/ipin.2012.6418900