Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Nicholas R. J. Lawrance"'
Autor:
Gian-Andrea Heinrich, Stephanie Vogt, Nicholas R. J. Lawrance, Thomas J. Stastny, Roland Y. Siegwart
Publikováno v:
Journal of Guidance, Control, and Dynamics. 45:1033-1045
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22ddfb7ba30126d2fd8f907c820e26be
https://doi.org/10.2514/1.g006412
https://doi.org/10.2514/1.g006412
Autor:
Marvin Harms, Maximilian Berger, Roland Siegwart, Nicholas R. J. Lawrance, Marc Rauch, Liberto Beltran, Noah Kaufmann, Friedrich M. Rockenbauer, Moritz Reinders, Simon Jeger, Thomas Stastny
Publikováno v:
Robotics: Science and Systems
The locomotion for many modern robotic systems is optimized for a single target domain - aerial, surface or underwater. In this work, we address the challenge of developing a robotic system capable of controlled motion in air and underwater. Further,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f585d192ec8569a43ae651fbe0a8c432
https://doi.org/10.15607/rss.2021.xvii.048
https://doi.org/10.15607/rss.2021.xvii.048
Publikováno v:
IROS
Robots often operate in built environments containing underlying structure that can be exploited to help predict future observations. In this work, we present a framework based on convolutional neural networks to predict point of interest locations i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::582afeac8adfce9fab23b70ada426c4c
https://doi.org/10.1007/s10514-018-09821-4
https://doi.org/10.1007/s10514-018-09821-4
Publikováno v:
Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA)
2021 IEEE International Conference on Robotics and Automation (ICRA)
ICRA
2021 IEEE International Conference on Robotics and Automation (ICRA)
ICRA
This paper presents an online informative path planning approach for active information gathering on three-dimensional surfaces using aerial robots. Most existing works on surface inspection focus on planning a path offline that can provide full cove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acab8325ad7a9b02e193bced5326566e
Publikováno v:
IEEE Robotics and Automation Letters, 6 (3)
This letter presents the modeling, system identification and nonlinear model predictive control (NMPC) design for longitudinal, full envelope velocity control of a small tiltwing hybrid unmanned aerial vehicle (H-UAV). A first-principles based dynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dabd865e528d778005b89c73e05d3a58
Autor:
Maximilian Stolzle, Erick Turricelli, Roland Siegwart, Florian Achermann, Jen Jen Chung, Trevor Phillips, Nicholas R. J. Lawrance
Publikováno v:
2021 IEEE International Conference on Robotics and Automation (ICRA)
ICRA
ICRA
For asymptotically optimal sampling-based path planners such as RRT*, path quality improves as the number of samples added to the motion tree increases. However, each additional sample requires a nearest-neighbor search. Calculating state transition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec1b2a1afb0ab9511a2c114ae7e7f2dd
https://hdl.handle.net/20.500.11850/515766
https://hdl.handle.net/20.500.11850/515766
Autor:
Thomas Stastny, Nicholas R. J. Lawrance, Friedrich M. Rockenbauer, Noah Kaufmann, Roland Siegwart, Marvin Harms
Publikováno v:
2020 International Conference on Unmanned Aircraft Systems (ICUAS).
A novel approach for attitude control of swept wing unmanned aerial vehicles (UAVs) is presented, involving the use of only differential wing sweep and rudder deflection. An analytic aerodynamic model of the aircraft based on simple sweep theory is d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6243037419421fc187c50b3db9b5324
https://doi.org/10.1109/icuas48674.2020.9214033
https://doi.org/10.1109/icuas48674.2020.9214033
Autor:
Geoffrey A. Hollinger, Dylan Jones, Seth McCammon, Robert DeBortoli, Nicholas R. J. Lawrance, Austin Nicolai, Lauren Milliken, Thane Somers
Publikováno v:
Journal of Field Robotics. 36:495-516
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61f40e531d90829ca36c791c3d8aee71
https://doi.org/10.1002/rob.21835
https://doi.org/10.1002/rob.21835
Publikováno v:
Journal of Aircraft. 54:2115-2125
Aircraft fuel models allow operators to predict the amount of fuel an aircraft will consume at a specified flight condition. These models can then be used to generate fuel tables or as standalone p...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f540b959a7feef69acbe0240589e561
https://doi.org/10.2514/1.c033215
https://doi.org/10.2514/1.c033215
Publikováno v:
IEEE Robotics and Automation Letters. 2:696-703
A challenging problem for autonomous exploration is estimating the utility of future samples. In this paper, we consider the problem of placing observations over an initially unknown continuous cost field to find the least-cost path from a fixed star
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36abdf2bbe3187821ef729166d939c8e
https://doi.org/10.1109/lra.2017.2651148
https://doi.org/10.1109/lra.2017.2651148