Imposing Motion Variability for Ergonomic Human-Robot Collaboration.

Journal: IISE transactions on occupational ergonomics and human factors
PMID:

Abstract

OCCUPATIONAL APPLICATIONS"Overassistive" robots can adversely impact long-term human-robot collaboration in the workplace, leading to risks of worker complacency, reduced workforce skill sets, and diminished situational awareness. Ergonomics practitioners should thus be cautious about solely targeting widely adopted metrics for improving human-robot collaboration, such as user trust and comfort. By contrast, introducing variability and adaptation into a collaborative robot's behavior could prove vital in preventing the negative consequences of overreliance and overtrust in an autonomous partner. This work reported here explored how instilling variability into physical human-robot collaboration can have a measurably positive effect on ergonomics in a repetitive task. A review of principles related to this notion of "stimulating" robot behavior is also provided to further inform ergonomics practitioners of existing human-robot collaboration frameworks.

Authors

  • Mark Zolotas
    Institute for Experiential Robotics, Northeastern University, Boston, MA, USA.
  • Rui Luo
    Department of Nuclear Medicine, Mianyang Central Hospital, Mianyang, 621000, China. Electronic address: luo919424962@gmail.com.
  • Salah Bazzi
    Institute for Experiential Robotics, Northeastern University, Boston, MA, USA.
  • Dipanjan Saha
    Institute for Experiential Robotics, Northeastern University, Boston, MA, USA.
  • Katiso Mabulu
    Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA, USA.
  • Kristian Kloeckl
    Department of Art + Design and the School of Architecture, Northeastern University, Boston, MA, USA.
  • Taşkın Padır
    Institute for Experiential Robotics, Northeastern University, Boston, MA, USA.