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IEEE Transactions on Automation Science and Engineering

Issue 4 • Oct. 2016

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Aims & Scope

T-ASE will publish foundational research on Automation: scientific methods and technologies that improve efficiency, productivity, quality, and reliability, specifically for methods, machines, and systems operating in structured environments over long periods, and the explicit structuring of environments.

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Meet Our Editors

Editor-in-Chief
Michael Y. Wang
HKUST Robotics Institute
Hong Kong University of Science and Technology