Multi-tasking arbitration and behaviour design for human-interactive robots

被引：5

作者：

Kobayashi, Yuichi ^{[1
,2
]}

Onishi, Masaki ^{[2
,3
]}

Hosoe, Shigeyuki ^{[3
]}

Luo, Zhiwei ^{[4
]}

机构：

[1] Tokyo Univ Agr & Technol, Dept Elect & Elect Engn, Fac Engn, Tokyo, Japan

[2] RIKEN TRI Collaborat Ctr Human Interact Robot Res, Nagoya, Aichi, Japan

[3] Natl Inst Adv Ind Sci & Technol, Tsukuba, Ibaraki, Japan

[4] Kobe Univ, Dept Comp Sci & Syst Engn, Kobe, Hyogo 657, Japan

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2013年 / 44卷 / 05期

关键词：

behaviour design; multi-tasking arbitration; Petri net; human interaction; OPTIMIZATION;

D O I：

10.1080/00207721.2011.625477

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Robots that interact with humans in household environments are required to handle multiple real-time tasks simultaneously, such as carrying objects, collision avoidance and conversation with human. This article presents a design framework for the control and recognition processes to meet these requirements taking into account stochastic human behaviour. The proposed design method first introduces a Petri net for synchronisation of multiple tasks. The Petri net formulation is converted to Markov decision processes and processed in an optimal control framework. Three tasks (safety confirmation, object conveyance and conversation) interact and are expressed by the Petri net. Using the proposed framework, tasks that normally tend to be designed by integrating many ifthen rules can be designed in a systematic manner in a state estimation and optimisation framework from the viewpoint of the shortest time optimal control. The proposed arbitration method was verified by simulations and experiments using RI-MAN, which was developed for interactive tasks with humans.

引用

页码：795 / 811

页数：17