Institution
Toyota
Company•Safenwil, Switzerland•
About: Toyota is a company organization based out in Safenwil, Switzerland. It is known for research contribution in the topics: Internal combustion engine & Battery (electricity). The organization has 40032 authors who have published 55003 publications receiving 735317 citations. The organization is also known as: Toyota Motor Corporation & Toyota Jidosha KK.
Topics: Internal combustion engine, Battery (electricity), Exhaust gas, Layer (electronics), Electrode
Papers published on a yearly basis
Papers
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TL;DR: In this article, the local-density full-potential linearized augmented-plane-wave method was used to calculate the band structure, densities of states, and optical properties (within the electric-dipole approximation) of potential transparent conducting oxide.
Abstract: High-temperature electrical property measurements (electrical conductivity, thermoelectric coefficient) on polycrystalline ${\mathrm{CuAlO}}_{2}$ exhibited characteristic small polaron features, i.e., low mobilities (0.1--0.4 ${\mathrm{cm}}^{2}$/V s) and an activation energy of \ensuremath{\sim}0.14 eV. The thermopower was p type (\ensuremath{\sim}440 \ensuremath{\mu}V/K) and roughly temperature independent. The local-density full-potential linearized augmented-plane-wave method was used to calculate the band structure, densities of states, and optical properties (within the electric-dipole approximation) in order to account for the unique electronic and optical properties of this potential transparent conducting oxide.
140 citations
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30 Nov 2004TL;DR: In this article, the authors propose a declaration control apparatus and method for a vehicle, which performs deceleration control such that the decelerations acting on the vehicle become equal to a target decelerated by an operation of a brake system which applies a braking force to the vehicle and a shift operation which shifts a transmission of the vehicle into a relatively low speed or speed ratio.
Abstract: A declaration control apparatus and method for a vehicle, which performs deceleration control such that a deceleration acting on the vehicle becomes equal to a target deceleration by an operation of a brake system which applies a braking force to the vehicle and a shift operation which shifts a transmission of the vehicle into a relatively low speed or speed ratio, increases the target deceleration over time at a predetermined gradient to a predetermined value when a determination that there is a need to shift the transmission into a relatively low speed or speed ratio has been made, and after the target deceleration reaches the predetermined value, maintains the target deceleration at a generally constant value. As a result, a deceleration transitional characteristic of the vehicle is able to be improved.
139 citations
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TL;DR: In this article, the authors consider the bandit setting and show how to get vanishingly small regret in this setting using a simple approximation of the gradient that is computed from evaluating a function at a single (random) point.
Abstract: We consider a the general online convex optimization framework introduced by Zinkevich. In this setting, there is a sequence of convex functions. Each period, we must choose a signle point (from some feasible set) and pay a cost equal to the value of the next function on our chosen point. Zinkevich shows that, if the each function is revealed after the choice is made, then one can achieve vanishingly small regret relative the best single decision chosen in hindsight.
We extend this to the bandit setting where we do not find out the entire functions but rather just their value at our chosen point. We show how to get vanishingly small regret in this setting.
Our approach uses a simple approximation of the gradient that is computed from evaluating a function at a single (random) point. We show that this estimate is sufficient to mimic Zinkevich's gradient descent online analysis, with access to the gradient (only being able to evaluate the function at a single point).
139 citations
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TL;DR: This paper describes HSR’s development background since 2006, and technical detail of hardware design and software architecture, and describes its omnidirectional mobile base using the dual-wheel caster-drive mechanism, which is the basis of HSR's operational movement and a novel whole body motion control system.
Abstract: There has been an increasing interest in mobile manipulators that are capable of performing physical work in living spaces worldwide, corresponding to an aging population with declining birth rates with the expectation of improving quality of life (QoL). We assume that overall research and development will accelerate by using a common robot platform among a lot of researchers since that enables them to share their research results. Therefore we have developed a compact and safe research platform, Human Support Robot (HSR), which can be operated in an actual home environment and we have provided it to various research institutes to establish the developers community. Currently, the number of HSR users is expanding to 44 sites in 12 countries worldwide (as of November 30th, 2018). To activate the community, we assume that the robot competition will be effective. As a result of international public offering, HSR has been adopted as a standard platform for international robot competitions such as RoboCup@Home and World Robot Summit (WRS). HSR is provided to participants of those competitions. In this paper, we describe HSR’s development background since 2006, and technical detail of hardware design and software architecture. Specifically, we describe its omnidirectional mobile base using the dual-wheel caster-drive mechanism, which is the basis of HSR’s operational movement and a novel whole body motion control system. Finally, we describe the verification of autonomous task capability and the results of utilization in RoboCup@Home in order to demonstrate the effect of introducing the platform.
139 citations
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13 Dec 2004TL;DR: An integrated control system includes a main control system (accelerator) controlling a driving system, an agent unit generating and providing information to each of the main control systems to cause the vehicle to realize a predetermined behavior.
Abstract: An integrated control system includes a main control system (accelerator) controlling a driving system, a main control system (brake) controlling a brake system, and a main control system (steering) controlling a steering system, an adviser unit generating and providing information to be used at each control system based on environmental information around the vehicle or information related to a driver, an agent unit generating and providing information to be used at each of the main control systems to cause the vehicle to realize a predetermined behavior, and a supporter unit generating and providing information to be used at each of the main control systems based on the current dynamic state of the vehicle.
139 citations
Authors
Showing all 40045 results
Name | H-index | Papers | Citations |
---|---|---|---|
Derek R. Lovley | 168 | 582 | 95315 |
Edward H. Sargent | 140 | 844 | 80586 |
Shanhui Fan | 139 | 1292 | 82487 |
Susumu Kitagawa | 125 | 809 | 69594 |
John B. Buse | 117 | 521 | 101807 |
Meilin Liu | 117 | 827 | 52603 |
Zhongfan Liu | 115 | 743 | 49364 |
Wolfram Burgard | 111 | 728 | 64856 |
Douglas R. MacFarlane | 110 | 864 | 54236 |
John J. Leonard | 109 | 676 | 46651 |
Ryoji Noyori | 105 | 627 | 47578 |
Stephen J. Pearton | 104 | 1913 | 58669 |
Lajos Hanzo | 101 | 2040 | 54380 |
Masashi Kawasaki | 98 | 856 | 47863 |
Andrzej Cichocki | 97 | 952 | 41471 |