---
title: "Handling Open Knowledge for Service Robots"
authors:
  - "Xiaoping Chen"
  - "Jian-Min Ji"
  - "Zhiqiang Sui"
  - "Jiongkun Xie"
doi: ""
url: "https://ijcai.org/proceedings/2013/362"
pdf: "https://ijcai.org/proceedings/2013/0362.pdf"
venue: "Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence"
year: 2013
pages: "2459-2464"
track: ""
keywords:
---

# Handling Open Knowledge for Service Robots

Xiaoping Chen, Jian-Min Ji, Zhiqiang Sui, Jiongkun Xie

*Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence*, pages 2459-2464.

## Abstract

Users may ask a service robot to accomplish various tasks so that the designer of the robot cannot program each of the tasks beforehand. As more and more open-source knowledge resources become available, it is worthwhile trying to make use of open-source knowledge resources for service robots. The challenge lies in the autonomous identification, acquisition and utilization of missing knowledge about a user task at hand. In this paper, the core problem is formalized and the complexity results of the main reasoning issues are provided. A mechanism for task planning with open-knowledge rules which are provided by non-experts in semi-structured natural language and thus generally underspecified are introduced. Techniques for translating the semi-structured knowledge from a large open-source knowledge base are also presented. Experiments showed a remarkable improvement of the system performance on a test set consisting of hundreds of user desires from the open-source knowledge base.