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pro vyhledávání: '"Das, Gautham P."'
Autor:
Heselden, James R., Das, Gautham P.
Mapping is a time-consuming process for deploying robotic systems to new environments. The handling of maps is also risk-adverse when not managed effectively. We propose here, a standardised approach to handling such maps in a manner which focuses on
Externí odkaz:
http://arxiv.org/abs/2404.13499
Publikováno v:
Lecture Notes in Computer Science(), vol 13546. Springer, Cham. 2022
This work extends an existing virtual multi-agent platform called RoboSumo to create TripleSumo -- a platform for investigating multi-agent cooperative behaviors in continuous action spaces, with physical contact in an adversarial environment. In thi
Externí odkaz:
http://arxiv.org/abs/2302.05528
Autor:
Moeys, Diederik Paul, Neil, Daniel, Corradi, Federico, Kerr, Emmett, Vance, Philip, Das, Gautham, Coleman, Sonya A., McGinnity, Thomas M., Kerr, Dermot, Delbruck, Tobi
Publikováno v:
IEEE EBCCSP 2018
Machine vision systems using convolutional neural networks (CNNs) for robotic applications are increasingly being developed. Conventional vision CNNs are driven by camera frames at constant sample rate, thus achieving a fixed latency and power consum
Externí odkaz:
http://arxiv.org/abs/1807.03128
Autor:
Das, Gautham P.
Hydraulic Engineering: Fundamental Concepts includes hydraulic processes with corresponding systems and devices. The hydraulic processes includes the fundamentals of fluid mechanics and pressurized pipe flow systems. This book illustrates the use of
Autor:
Moeys, Diederik Paul, Corradi, Federico, Kerr, Emmett, Vance, Philip, Das, Gautham, Neil, Daniel, Kerr, Dermot, Delbruck, Tobi
This paper describes the application of a Convolutional Neural Network (CNN) in the context of a predator/prey scenario. The CNN is trained and run on data from a Dynamic and Active Pixel Sensor (DAVIS) mounted on a Summit XL robot (the predator), wh
Externí odkaz:
http://arxiv.org/abs/1606.09433
Akademický článek
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Akademický článek
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Autor:
Ghalazman E., Amir, Das, Gautham P., Gould, Iain, Zarafshan, Payam, Rajendran S., Vishnu, Heselden, James, Badiee, Amir, Wright, Isobel, Pearson, Simon
Publikováno v:
In Solar Energy Advancements in Agriculture and Food Production Systems 2022:351-390