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Takashi Kubota

Researcher at University of Melbourne

Publications -  929
Citations -  80456

Takashi Kubota is an academic researcher from University of Melbourne. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 127, co-authored 924 publications receiving 74260 citations. Previous affiliations of Takashi Kubota include Politehnica University of Bucharest & Shimane University.

Papers
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Journal ArticleDOI

Effect of Palladium Dispersion on the Enantioselective Hydrogenation of α,β-Unsaturated Acids with Modified Pd/TiO2 Catalysts.

TL;DR: In this article, the enantioselective hydrogenation of the C=C double bonds in (E)-2-methyl-2-butenoic acid, (E) 2,3-diphenyl-2,2-propenoic acid has been studied using cinchonidine-modified Pd/TiO2 catalysts with different metal loadings of between 0.5 to 30 wt%.
Book ChapterDOI

Grasping Characteristics of Flexible Propulsion Unit Using Braid Mechanism for Lunar Exploration Robot

TL;DR: Li et al. as mentioned in this paper proposed a novel propulsion unit using braid to achieve curving excavation for the second target mission, modeled the gripping force of the proposed mechanism, and measured the gripping forces of the prototype using the mechanism.
Patent

モノヌクレオシドまたはモノヌクレオチドから誘導される構造を有する化合物、核酸、標識物質、核酸検出方法およびキット

TL;DR: In this paper, the authors discuss the effect of different types of transformations on the performance of the system. But they do not discuss the impact of different kinds of changes on the quality of the results.

Table 9 ; Measurement of the pseudorapidity and transverse momentum dependence of the elliptic flow of charged particles in lead-lead collisions at $\sqrt{s_{NN}}=2.76$ TeV with the ATLAS detector

Georges Aad, +3028 more
Journal ArticleDOI

Visual Control of Robotic Manipulator Based on Artificial Neural Network

Abstract: This paper describes a control scheme for a robotic manipulator system which uses visual information to position and orientate the end-effector. In the scheme the position and the orientation of the target workpiece with respect to the base frame of the robot are assumed to be unknown, but the desired relative position and orientation of the end-effector to the target workpiece are given in advance. The control system directly integrates visual data into the servoing process without subdi-viding the process into determination of the position and orientation of the workpiece and inverse kinematic calculation. An artificial neural network system is used for determining the change in joint angles required in order to achieve the desired position and orientation. The proposed system can control the robot so that it approach the desired position and orientation from arbitrary initial ones. Simulation for the robotic manipulator with six degrees of freedom is done. The validity and the effectiveness of the proposed control scheme are verified by computer simulations.