Imitation based human-robot interaction - roles of joint attention and motion prediction
Y. Akiwa, Tetsuya Ogata, Y. Suga, Shigeki Sugano
- Year
- 2005
- Citations
- 6
Abstract
Behavior imitation is crucial for the acquisition of intelligence as well as in communication. This paper describes two kinds of experiments of human-robot communication based on behavior imitation. One compared the results obtained when the robot did and did not predict the experimental subject's behaviors by using past datasets, and the other compared the results obtained with and without target objects in the simulator environment. The result of former experiment showed that the prediction of the subject's behaviors increase the subject's interest. The result of the latter experiment confirmed that the presence of objects facilitates joint attention and make human-robot communication possible even when the robot uses a simple imitation mechanism. This result shows that in human-robot communication, human not only recognizes the behaviors of the robot passively but also adapts to the situation actively. In conclusion, it is confirmed that the motion prediction and the presence of objects for joint attention are important for human-robot communication.
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