Transferability of HRI Research: Potential and Challenges
CoRR(2024)
摘要
With advancement of robotics and artificial intelligence, applications for
robotics are flourishing. Human-robot interaction (HRI) is an important area of
robotics as it allows robots to work closer to humans (with them or for them).
One crucial factor for the success of HRI research is transferability, which
refers to the ability of research outputs to be adopted by industry and provide
benefits to society. In this paper, we explore the potentials and challenges of
transferability in HRI research. Firstly, we examine the current state of HRI
research and identify various types of contributions that could lead to
successful outcomes. Secondly, we discuss the potential benefits for each type
of contribution and identify factors that could facilitate industry adoption of
HRI research. However, we also recognize that there are several challenges
associated with transferability, such as the diversity of well-defined
job/skill-sets required from HRI practitioners, the lack of industry-led
research, and the lack of standardization in HRI research methods. We discuss
these challenges and propose potential solutions to bridge the gap between
industry expectations and academic research in HRI.
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