ChibiFace

A sensor-rich Android tablet-based interface for industrial robotics

Birzhan Nurimbetov, Artur Saudabayev, Damir Temiraliuly, Andrey Sakryukin, Abzal Serekov, Huseyin Atakan Varol

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Tablet computers are advanced sensor-rich units equipped with high computational power and extended communication capability. Even though their primary usage is in consumer electronics, we believe they have high potential in human-robot interaction. Tablets can be programmed to replicate various functions of the head such as vision, hearing, speaking and facial articulations. In this work, we present tablet computer-based robot head ChibiFace. Built on top of the Android operating system, it uses native Android and third party open-source libraries to implement various audio and visual signal processing algorithms, machine learning and system integration with different robot platforms. Experiments carried out in industrial robotics settings show that ChibiFace can enhance the safety of human-robot interaction. Rapid pace of advancement and functional expansion in tablet computers driven by the intense market competition foretells that highly capable, portable and customizable tablet-based human-robot interfaces might be widely accessible in the near future.

Original languageEnglish
Title of host publication2015 IEEE/SICE International Symposium on System Integration, SII 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages587-592
Number of pages6
ISBN (Print)9781467372428
DOIs
Publication statusPublished - Feb 10 2016
Event8th Annual IEEE/SICE International Symposium on System Integration, SII 2015 - Nagoya, Japan
Duration: Dec 11 2015Dec 13 2015

Other

Other8th Annual IEEE/SICE International Symposium on System Integration, SII 2015
CountryJapan
CityNagoya
Period12/11/1512/13/15

Fingerprint

Interfaces (computer)
Human robot interaction
Robotics
Robots
Sensors
Consumer electronics
Audition
Learning systems
Signal processing
Communication
Experiments

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Nurimbetov, B., Saudabayev, A., Temiraliuly, D., Sakryukin, A., Serekov, A., & Varol, H. A. (2016). ChibiFace: A sensor-rich Android tablet-based interface for industrial robotics. In 2015 IEEE/SICE International Symposium on System Integration, SII 2015 (pp. 587-592). [7405045] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SII.2015.7405045

ChibiFace : A sensor-rich Android tablet-based interface for industrial robotics. / Nurimbetov, Birzhan; Saudabayev, Artur; Temiraliuly, Damir; Sakryukin, Andrey; Serekov, Abzal; Varol, Huseyin Atakan.

2015 IEEE/SICE International Symposium on System Integration, SII 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 587-592 7405045.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nurimbetov, B, Saudabayev, A, Temiraliuly, D, Sakryukin, A, Serekov, A & Varol, HA 2016, ChibiFace: A sensor-rich Android tablet-based interface for industrial robotics. in 2015 IEEE/SICE International Symposium on System Integration, SII 2015., 7405045, Institute of Electrical and Electronics Engineers Inc., pp. 587-592, 8th Annual IEEE/SICE International Symposium on System Integration, SII 2015, Nagoya, Japan, 12/11/15. https://doi.org/10.1109/SII.2015.7405045
Nurimbetov B, Saudabayev A, Temiraliuly D, Sakryukin A, Serekov A, Varol HA. ChibiFace: A sensor-rich Android tablet-based interface for industrial robotics. In 2015 IEEE/SICE International Symposium on System Integration, SII 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 587-592. 7405045 https://doi.org/10.1109/SII.2015.7405045
Nurimbetov, Birzhan ; Saudabayev, Artur ; Temiraliuly, Damir ; Sakryukin, Andrey ; Serekov, Abzal ; Varol, Huseyin Atakan. / ChibiFace : A sensor-rich Android tablet-based interface for industrial robotics. 2015 IEEE/SICE International Symposium on System Integration, SII 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 587-592
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