Robot Competition to Evaluate Guidance Skill for General Users in VR Environment
Tetsunari Inamura, Yoshiaki Mizuchi
- Year
- 2019
- Citations
- 9
Abstract
Robot competition such as RoboCup@Home is one of the most effective ways to evaluate the performance of human-robot interaction; however, it takes a lot of costs for real robot maintenance and the practice of evaluation sessions. We have proposed a simulation software to evaluate human-robot interaction in daily life environment based on immersive virtual reality. In this paper, we design a task named `human navigation' in which the evaluation requires a subjective impression by the users. Through a substantiative experiment, we confirmed that the proposed task and system reduced the cost for the practice of the competition.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002