Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Phillip Quin"'
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Many robot exploration algorithms that are used to explore office, home, or outdoor environments, rely on the concept of frontier cells. Frontier cells define the border between known and unknown space. Frontier-based exploration is the process of re
Externí odkaz:
https://doaj.org/article/34b44f0b3cf448deb695463652614609
Autor:
Michael Seaborne, Hope Jones, Neil Cockburn, Stevo Durbaba, Arturo González-Izquierdo, Amy Hough, Dan Mason, Carlos Sánchez-Soriano, Chris Orton, Armando Méndez-Villalon, Tom Giles, David Ford, Phillip Quinlan, Krish Nirantharakumar, Lucilla Poston, Rebecca Reynolds, Gillian Santorelli, Sinead Brophy
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 2 (2024)
Introduction Birth cohorts are valuable resources for studying early life, the determinants of health, disease, and development. They are essential for studying life course. Dynamic longitudinal electronic cohorts use routinely collected data, are li
Externí odkaz:
https://doaj.org/article/8679ebc5bc0a4ee5af005b3d22642624
Autor:
Brad Walmsley, E.S. Toohey, M. J. McPhee, Alen Alempijevic, Teresa Vidal-Calleja, Raphael Falque, Phillip Quin
Lean Meat Yield (LMY, %) of carcass is an important industry trait, which currently is not routinely measured in Australian beef abattoirs. Objective on-line technology to determine LMY is key for wider adoption. This paper presents a proof-of-concep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15064911b5c9474d9f9c1c0f22b37e16
https://hdl.handle.net/10453/147607
https://hdl.handle.net/10453/147607
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 14:869-880
© 2017 IEEE. Inspecting surface conditions in 3-D environments such as steel bridges is a complex, time-consuming, and often hazardous undertaking that is an essential part of tasks such as bridge maintenance. Developing an autonomous exploration st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cee58ff00474e10d4d7f4113c6ee719f
https://doi.org/10.1109/tase.2016.2640228
https://doi.org/10.1109/tase.2016.2640228
© 2001-2012 IEEE. A robot designed to climb truss structures such as power transmission towers is expected to have an adequate tactile sensing in the grippers to identify a structural beam member and its properties. Depending on how a gripper grasps
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7ff0930ef9dadb19c76acab17f2f6a7
https://hdl.handle.net/10453/133781
https://hdl.handle.net/10453/133781
© 2015 IEEE. This paper presents a Sliding Window approach to viewpoint selection when exploring an environment using a RGB-D sensor mounted to the end-effector of an inchworm climbing robot for inspecting areas inside steel bridge archways which ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66e85f1a0556e17222e4f7bc03433a9c
https://hdl.handle.net/10453/36649
https://hdl.handle.net/10453/36649
Autor:
Sejuti Rahman, Teresa Vidal-Calleja, T. Walsh, Phillip Quin, M. J. McPhee, Alen Alempijevic, E.S. Toohey
Publikováno v:
Animal Production Science. 58:1488
The objectives of the present study were to describe the approach used for classifying surface tissue, and for estimating fat depth in lamb short loins and validating the approach. Fat versus non-fat pixels were classified and then used to estimate t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8254cb68db4d84697b20e123c3005337
https://doi.org/10.1071/an17795
https://doi.org/10.1071/an17795
Publikováno v:
ROBIO
© 2015 IEEE. This paper presents an exploration approach for robots to determine sensing actions that facilitate the building of surface maps of structured partially-known environments. This approach uses prior knowledge about key environmental feat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c143cf4d179115e7edfc162ea2664aa7
https://hdl.handle.net/10453/37771
https://hdl.handle.net/10453/37771
Publikováno v:
ICRA
This paper presents an approach for exploring a complex 3D environment with a sensor mounted on the end effector of a robot manipulator. In contrast to many current approaches which plan as far ahead as possible using as much environment information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::005cf3bcb1242dd4bf837e36dbd92c3f
https://doi.org/10.1109/icra.2013.6630745
https://doi.org/10.1109/icra.2013.6630745