Author(s)

Mengjie Liu, Baiqing Sun, Yong Li, Qiuhao Zhang and Junyou Yang

Corresponding Author

Mengjie Liu

ABSTRACT

In order to solve the fuzzy and unspecific task instructions received by service robots when serving the elderly, a hierarchical human-like behavior decision-making model is constructed, which makes a fuzzy and unspecific task clear and concrete by simulating human thinking reasoning and decision-making. The decision-making framework based on human behavior includes perception layer, evaluation layer and decision-making layer. The fuzziness and uncertainty of human cognitive behavior are simulated by different modeling methods such as production system, Bayesian network and man-machine interaction. The feasibility of the reasoning algorithm flow chart of the human-like behavior decision- making model is verified by an example of the elderly eating fruit.

KEYWORDS

humanoid behavior decision,generative system, bayesian network, humanrobot interaction mode