Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Yogesh Girdhar"'
Autor:
Jesús Pineda, Walter Cho, Victoria Starczak, Annette F. Govindarajan, Héctor M. Guzman, Yogesh Girdhar, Rusty C. Holleman, James Churchill, Hanumant Singh, David K. Ralston
Publikováno v:
PeerJ, Vol 4, p e1770 (2016)
A research cruise to Hannibal Bank, a seamount and an ecological hotspot in the coastal eastern tropical Pacific Ocean off Panama, explored the zonation, biodiversity, and the ecological processes that contribute to the seamount’s elevated biomass.
Externí odkaz:
https://doaj.org/article/090953b2a1c14651b15d1461df3c733d
Autor:
Amy Apprill, Yogesh Girdhar, T. Aran Mooney, Colleen M. Hansel, Matthew H. Long, Yaqin Liu, W. Gordon Zhang, Jason Kapit, Konrad Hughen, Jeff Coogan, Austin Greene
Publikováno v:
Environmental Science & Technology. 57:5117-5124
Publikováno v:
Limnology and Oceanography: Methods.
In-situ visual observations of marine organisms is crucial to developing behavioural understandings and their relations to their surrounding ecosystem. Typically, these observations are collected via divers, tags, and remotely-operated or human-pilot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6679cd169cce6023f4e5fcf85bce124b
Autor:
Mary M. Yoklavich, W.Waldo Wakefield, Chris Taylor, Matthew D. Campbell, Steve Murawski, Yogesh Girdhar, David A. Somerton, Hanumant Singh, M. Elizabeth Clarke, Ariane Huddleston
Publikováno v:
Fishery Bulletin. 119:216-230
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Publikováno v:
ICRA
Although existing cellular network base stations are typically immobile, the recent development of small form factor base stations and self driving cars has enabled the possibility of deploying a team of continuously moving base stations that can reo
Publikováno v:
ICRA
We present a solution to multi-robot distributed semantic mapping of novel and unfamiliar environments. Most state-of-the-art semantic mapping systems are based on supervised learning algorithms that cannot classify novel observations online. While u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::014810e88200d0866b51692de36008e3
http://arxiv.org/abs/2103.14805
http://arxiv.org/abs/2103.14805
Autor:
Yogesh Girdhar, Francois Robert Hogan, David Meger, Michael Jenkin, Gregory Dudek, Sahand Rezaei-Shoshtari
Publikováno v:
WACV
We introduce a new class of vision-based sensor and associated algorithmic processes that combine visual imaging with high-resolution tactile sending, all in a uniform hardware and computational architecture. We demonstrate the sensor's efficacy for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dcd4993255dd9d0cf193514ea8d344b
http://arxiv.org/abs/2011.09552
http://arxiv.org/abs/2011.09552
Publikováno v:
ICRA
We propose a generative model for the spatio-temporal distribution of high dimensional categorical observations. These are commonly produced by robots equipped with an imaging sensor such as a camera, paired with an image classifier, potentially prod