Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Tan, Jethro"'
Autor:
Sinai, Joshua
Publikováno v:
Perspectives on Terrorism, 2020 Aug 01. 14(4), 156-157.
Externí odkaz:
https://www.jstor.org/stable/26927670
Dielectrics are crucial for technologies like flash memory, CPUs, photovoltaics, and capacitors, but public data on these materials are scarce, restricting research and development. Existing machine learning models have focused on predicting scalar p
Externí odkaz:
http://arxiv.org/abs/2405.09052
Autor:
Takahashi, Kuniyuki, Tan, Jethro
Estimation of tactile properties from vision, such as slipperiness or roughness, is important to effectively interact with the environment. These tactile properties help us decide which actions we should choose and how to perform them. E.g., we can d
Externí odkaz:
http://arxiv.org/abs/1803.03435
Autor:
Hatori, Jun, Kikuchi, Yuta, Kobayashi, Sosuke, Takahashi, Kuniyuki, Tsuboi, Yuta, Unno, Yuya, Ko, Wilson, Tan, Jethro
Comprehension of spoken natural language is an essential component for robots to communicate with human effectively. However, handling unconstrained spoken instructions is challenging due to (1) complex structures including a wide variety of expressi
Externí odkaz:
http://arxiv.org/abs/1710.06280
In order for robots to perform mission-critical tasks, it is essential that they are able to quickly adapt to changes in their environment as well as to injuries and or other bodily changes. Deep reinforcement learning has been shown to be successful
Externí odkaz:
http://arxiv.org/abs/1710.06117
Autor:
Hernandez, Carlos, Bharatheesha, Mukunda, Ko, Wilson, Gaiser, Hans, Tan, Jethro, van Deurzen, Kanter, de Vries, Maarten, Van Mil, Bas, van Egmond, Jeff, Burger, Ruben, Morariu, Mihai, Ju, Jihong, Gerrmann, Xander, Ensing, Ronald, Van Frankenhuyzen, Jan, Wisse, Martijn
This paper describes Team Delft's robot, which won the Amazon Picking Challenge 2016, including both the Picking and the Stowing competitions. The goal of the challenge is to automate pick and place operations in unstructured environments, specifical
Externí odkaz:
http://arxiv.org/abs/1610.05514
Computational RFID (CRFID) devices are emerging platforms that can enable perennial computation and sensing by eliminating the need for batteries. Although much research has been devoted to improving upstream (CRFID to RFID reader) communication rate
Externí odkaz:
http://arxiv.org/abs/1512.04602
Akademický článek
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Akademický článek
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Publikováno v:
IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications; 2016, p1-9, 9p