About ACIRS 2017
2017 2nd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS
2017) will be held during June 16-19, 2017
ACIRS 2017 provides a
forum for scientific advances in the theory and practice of Intelligent
Robot Systems. It is a highly selective, single-track meeting that will
be soliciting submissions presenting significant, original, and
previously unpublished research. ACIRS 2017 aims to be one of the
leading international conferences in the Asia Pacific region, and will
provide an exciting environment for researchers to present and discuss
the latest technologies, algorithms, system architectures, and
Accepted papers of ACIRS
2017 will be published in Conference Proceedings.
accepted papers must be written in English and will be published into
conference proceedings by IEEE.
The proceedings will be submitted and reviewed by the
IEEE Xplore and
Ei Compendex after the conference.
大会录用论文将由IEEE收录到ACIRS 2017 会议论文集，该论文集将收录到IEEE
papers will be recommended to be published in
Machines (ISSN 2075-1702; CODEN: MACHCV) after adding
at least 30% new content.
Articles submitted directly to ACIRS 2017 will be fully peer reviewed by
appropriately qualified experts in the field selected by the Conference
PLEASE NOTE: To be
published in the ACIRS 2017 Conference Proceedings and to be
eligible for publication in IEEE Xplore®, an author of an accepted paper
is required to register for the conference at the full or limited
(member or non-member) rate and the paper must be presented by an author
of that paper at the conference unless the TPC Chair grants permission
for a substitute presenter arranged in advance of the event and who is
qualified both to present and answer questions. Non-refundable
registration fees must be paid prior to uploading the final IEEE
formatted, publication-ready version of the paper. For authors with
multiple accepted papers, one full registration is valid for up to 3
papers. Accepted and presented papers will be published in the ACIRS 2017 Conference Proceedings and submitted to IEEE Xplore® as well
as other Abstracting and Indexing (A&I) databases.