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Institution

Sony Broadcast & Professional Research Laboratories

CompanyTaipei, Taiwan
About: Sony Broadcast & Professional Research Laboratories is a company organization based out in Taipei, Taiwan. It is known for research contribution in the topics: Signal & Layer (electronics). The organization has 38708 authors who have published 63864 publications receiving 865637 citations.


Papers
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Patent
27 Apr 2009
TL;DR: In this paper, the authors provided a power transmitting apparatus including a power transmission side communication unit for communicating with one or more power receiving apparatus for receiving transmitted power, a power transmit unit for transmitting power to the one or multiple power receiving devices in a non-contact manner, and an allocating unit for dividing transmission of power from the power transmission unit to the power receiving device to a plurality of dividing periods for every predetermined period, and allocating the device to one of the dividing periods.
Abstract: There is provided a power transmitting apparatus including a power transmission side communication unit for communicating with one or more power receiving apparatus for receiving transmitted power; a power transmission unit for transmitting power to the one or more power receiving apparatus in a non-contact manner; an allocating unit for dividing transmission of power from the power transmission unit to the power receiving apparatus to a plurality of dividing periods for every predetermined period, and allocating the one or more power receiving apparatus to one of the dividing periods; and a power transmission control unit for selectively transmitting power to the one or more power receiving apparatus for every dividing period based on the allocation result in the allocating unit.

217 citations

Patent
01 Apr 1997
TL;DR: In this article, an automatic configuration system maps a device address of each node coupled to a bus structure to a network protocol address corresponding to the physical location of the node, which corresponds to the position of the respective device.
Abstract: An automatic configuration system maps a device address of each node coupled to a bus structure to a network protocol address corresponding to the physical location of the node. A configuration database is built which includes the network protocol address of each node and its corresponding device address. A wiring database, including each device position within the network, is maintained within a network server. Preferably, the network is an IEEE 1394 serial bus network. A topology map, including the device addresses of the nodes within the network and their relationship to each other, is generated during a self-ID sequence and is maintained by the network server. This information is then compared to the wiring database by the network server in order to build a restored topology map including the corresponding device address for each device at each position. A DHCP database is then generated which includes each device address and its corresponding network protocol address. The network protocol address corresponds to the position of the respective device. Using the DHCP database, the network protocol address is maintained for the devices at each position, in order to monitor the positions of the devices and communications from the devices.

217 citations

Proceedings ArticleDOI
10 Dec 2002
TL;DR: Experimental evidence is given that a combination of Markov localization and Kalman filtering as well as a variant of MCL outperform the other methods in terms of accuracy, robustness, and time needed for recovering from manual robot displacement, while requiring only few computational resources.
Abstract: Localization is one of the fundamental problems in mobile robot navigation. Past experiments have shown that, in general, grid-based Markov localization is more robust than Kalman filtering while the latter can be more accurate than the former Recently new methods for localization employing particle filters have become popular. In this paper, we compare different localization methods using Kalman filtering, grid-based Markov localization, Monte Carlo Localization (MCL), and combinations thereof. We give experimental evidence that a combination of Markov localization and Kalman filtering as well as a variant of MCL outperform the other methods in terms of accuracy, robustness, and time needed for recovering from manual robot displacement, while requiring only few computational resources.

216 citations

Journal ArticleDOI
TL;DR: In this article, the authors discuss the concept of joint attention and the different skills underlying its development and identify open issues and challenges that still need to be addressed to understand the development of the various aspects of attentional behavior.
Abstract: This article discusses the concept of joint attention and the different skills underlying its development. Research in developmental psychology clearly states that the development of skills to understand, manipulate and coordinate attentional behavior plays a pivotal role for imitation, social cognition and the development of language. However, beside the fact that joint attention has recently received an increasing interest in the robotics community, existing models concentrate only on partial and isolated elements of these phenomena. In the line of Tomasello’s research, we argue that joint attention is much more than simultaneous looking because it implies a shared intentional relation to the world. This requires skills for attention detection, attention manipulation, social coordination and, most importantly, intentional understanding. After defining joint attention and its challenges, the current state-of-the-art of robotic and computational models relevant for this issue is discussed in relation to a developmental timeline drawn from results in child studies. From this survey, we identify open issues and challenges that still need to be addressed to understand the development of the various aspects of joint attention and conclude with the potential contribution of robotic models.

216 citations

Patent
21 Jul 1997
TL;DR: In this paper, a position measuring apparatus includes a first position measuring device for position measuring first position by receiving a first radio wave, a second position measurement device for positioning second position using a second radio wave and an evaluating unit for evaluating uncertainty.
Abstract: A position measuring apparatus includes a first position measuring device for position measuring a first position by receiving a first radio wave, a second position measuring device for position measuring a second position by receiving a second radio wave, an evaluating unit for evaluating uncertainty of data derived from the first position measuring device and/or the second position measuring device, and a selecting element for selecting data from the first position measuring device or the second position measuring device based on an output signal of the evaluating unit.

216 citations


Authors

Showing all 38711 results

NameH-indexPapersCitations
Hui Li1352982105903
Susumu Kitagawa12580969594
Shree K. Nayar11338445139
Takashi Kobayashi10360651385
Bo Huang9772840135
Muhammad Imran94305351728
Xiaodong Xu94112250817
Mitsuo Kawato8642235640
Takashi Yamamoto84140135169
Atsuo Yamada7844423989
Katsushi Ikeuchi7863620622
Yoshihiro Iwasa7745427146
Satoshi Miyazaki7634120483
Hiroshi Yamazaki7495327216
Alexei Gruverman6930118610
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20223
2021294
2020902
20191,297
20181,111
20171,078