Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Brian Surgenor"'
Publikováno v:
ICRA
We introduce a self-supervised method for systematically choosing traversable terrain while autonomously navigating a vehicle to a goal position in an unknown off-road environment. Leveraging the color discriminant bias of off-road terrain types, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd55b290ae8b990b32b0b1ac478a72cb
https://doi.org/10.1109/icra48506.2021.9562029
https://doi.org/10.1109/icra48506.2021.9562029
Publikováno v:
CRV
For use in off-road autonomous driving applications, we propose and study the use of multi-resolution local binary pattern texture descriptors to improve overall semantic segmentation performance and reduce class imbalance effects in off-road visual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a28a79ca37c46dc65fbb0802362fc6f
https://doi.org/10.1109/crv52889.2021.00030
https://doi.org/10.1109/crv52889.2021.00030
Publikováno v:
CCECE
This paper addresses the question as to whether a serial robot could be used to sand a wooden bowl, in order to free a human operator from what is considered a hazardous task. The process of sanding wood is similar to the polishing of metal, There ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6edfafd3751445a527197f83ed74ef19
https://doi.org/10.1109/ccece47787.2020.9255797
https://doi.org/10.1109/ccece47787.2020.9255797
Publikováno v:
Journal of Intelligent Manufacturing. 31:103-125
Machine vision inspection systems are often used for part classification applications to confirm that correct parts are available in manufacturing or assembly operations. Support vector machines (SVMs) and artificial neural networks (ANNs) are popula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a3ccfce30f1690bd7eb2347cb99f8a2
https://doi.org/10.1007/s10845-018-1438-3
https://doi.org/10.1007/s10845-018-1438-3
Autor:
Heshan Fernando, Brian Surgenor
Publikováno v:
Robotics and Computer-Integrated Manufacturing. 43:79-88
Artificial neural networks (ANNs) are suitable for fault detection and identification (FDI) applications because of their pattern recognition abilities. In this study, an unsupervised ANN based on Adaptive Resonance Theory (ART) is tested for FDI on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11a595ec1a1b44e16382dd342da2aef4
https://doi.org/10.1016/j.rcim.2015.11.006
https://doi.org/10.1016/j.rcim.2015.11.006
Autor:
Vedang Chauhan, Brian Surgenor
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 90:2491-2512
Automated assembly machines operate continuously to achieve high production rates. Continuous operation increases the potential for faults such as jams, missing parts, and electromechanical failures of subsystems. The goal of this research project wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f62b75b9830be6bb86efafb5dd8e1ab
https://doi.org/10.1007/s00170-016-9581-5
https://doi.org/10.1007/s00170-016-9581-5
Autor:
Brian Surgenor, Vahid Nazari
Publikováno v:
International Journal of Control, Automation and Systems. 14:1376-1388
In this paper a new control algorithm for position tracking of sinusoidal trajectories is introduced to improve the accuracy of a pneumatic actuator. A proportional valve is used to control the position of a rodded cylinder through a fuzzy logic (FL)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a051293fde95059842ea7e3d12f2b0b7
https://doi.org/10.1007/s12555-015-0202-0
https://doi.org/10.1007/s12555-015-0202-0
Autor:
Brian Surgenor, Mohammed Abu Mallouh, Mohamed Z. Youssef, Mohammed A. Hamdan, Mohammad Salah, Eman Abdelhafez
Publikováno v:
Transactions of the Institute of Measurement and Control. 39:1431-1440
The development of hybrid vehicular power systems has been conducted for decades to improve transportation quality mainly in terms of environment pollution and fuel economy. Hence, hybrid electric vehicular systems are considered an attractive and po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::363e58015d7bc0d79325413d9f4182cf
https://doi.org/10.1177/0142331216642835
https://doi.org/10.1177/0142331216642835
Publikováno v:
Engineering Applications of Neural Networks ISBN: 9783030202569
EANN
EANN
Deep learning is a subset of machine learning that is powerful at recognizing patterns and extensively used for image classification. However, it typically requires a large amount of data and it is computationally expensive for training an applicatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3be2f5fbe69355d7400411a9e28305b3
https://doi.org/10.1007/978-3-030-20257-6_23
https://doi.org/10.1007/978-3-030-20257-6_23
Autor:
Keyur D. Joshi, Brian Surgenor
Publikováno v:
M2VIP
A Flexible Machine Vision (FMV) Inspection System has been developed that requires minimal retuning in hardware and software as applications are changed up. The flexibility of the system was evaluated by applying it to an inspection problem with thre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1af56e9cdce0eb47482585126739042e
https://doi.org/10.1109/m2vip.2018.8600819
https://doi.org/10.1109/m2vip.2018.8600819