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Kei Okada

Researcher at University of Tokyo

Publications -  520
Citations -  8179

Kei Okada is an academic researcher from University of Tokyo. The author has contributed to research in topics: Humanoid robot & Robot. The author has an hindex of 36, co-authored 459 publications receiving 6719 citations. Previous affiliations of Kei Okada include Omron & Osaka University.

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Journal ArticleDOI

The ALICE Collaboration

K. Aamodt, +992 more
- 01 Nov 2009 - 
TL;DR: In this paper, the production of mesons containing strange quarks (KS, φ) and both singly and doubly strange baryons (,, and − + +) are measured at mid-rapidity in pp collisions at √ s = 0.9 TeV with the ALICE experiment at the LHC.
Journal ArticleDOI

Analysis and Observations From the First Amazon Picking Challenge

TL;DR: An overview of the inaugural Amazon Picking Challenge is presented along with a summary of a survey conducted among the 26 participating teams, highlighting mechanism design, perception, and motion planning algorithms, as well as software engineering practices that were most successful in solving a simplified order fulfillment task.
Journal ArticleDOI

Charged-particle multiplicity measurement in proton-proton collisions at $\sqrt{s}=7$ TeV with ALICE at LHC

K. Aamodt, +1054 more
TL;DR: In this article, the authors measured charged-particle pseudo-rapidity density at the LHC with the ALICE detector at centre-of-mass energies 0.9 TeV and 2.36 TeV in the pseudorapidity range.
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Alignment of the ALICE Inner Tracking System with cosmic-ray tracks

K. Aamodt, +1109 more
TL;DR: In this paper, the alignment of the inner tracking system of the ALICE Large Ion Collider Experiment (ALICE ITS) with the Millepede global approach has been studied and the results obtained for the ITS alignment using about 10(5) charged tracks from cosmic rays that have been collected during summer 2008.
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Home-Assistant Robot for an Aging Society

TL;DR: Research on a home-assistant robot, which improves the ease and productivity of home activities and aims to develop a system for continuously performing a series of tasks by including failure detection and recovery.