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A survey on applications of ontology knowledge representation in robotics
- Chinese Journal of Intelligent Science and Technology Vol. 4, Issue 2, Pages: 212-222(2022)
- 作者机构：
1. 中国科学院自动化研究所复杂系统管理与控制国家重点实验室，北京 100190
2. 中国科学院大学人工智能学院，北京 100049
3. 中国科学院脑科学与智能技术卓越创新中心，上海 200031
- 作者简介：
- 基金信息：
DOI：10.11959/j.issn.2096-6652.202224
CLC： TP242.6-
Published Online：2022-06，
Published：15 June 2022
- 稿件说明：
移动端阅览
Yueguang GE, Shaolin ZHANG, Yinghao CAI, et al. A survey on applications of ontology knowledge representation in robotics[J]. Chinese journal of intelligent science and technology, 2022, 4(2): 212-222.
Yueguang GE, Shaolin ZHANG, Yinghao CAI, et al. A survey on applications of ontology knowledge representation in robotics[J]. Chinese journal of intelligent science and technology, 2022, 4(2): 212-222. DOI： 10.11959/j.issn.2096-6652.202224.
摘要
面临复杂非结构化的作业环境，知识表示方法在机器人自主作业中发挥着越来越重要的作用。知识表示关注于知识符号表征方式及如何通过推理程序自动实现知识处理。基于此，对基于本体表示与推理的机器人知识表示框架及最新应用进展进行了介绍。从确定性知识和不确定性知识两个方面，介绍了知识表示与推理的技术背景、实现方式和研究现状，并对机器人知识未来的研究方向进行了展望。
Abstract
The technology about knowledge representation plays an increasingly important role in the autonomous operation of robots facing the complex and unstructured working environment.Knowledge representation focuses on the model of knowledge symbols and how to realize knowledge processing through reasoning procedures automatically.The robot knowledge representation framework and the latest application progress based on ontology representation and reasoning were reviewed.The technical background
realization methods of knowledge representation and reasoning
and recent research progress in the robotics field were summarized from deterministic knowledge and uncertain knowledge.And the future research direction of knowledge-enabled robots was predicted.
关键词
Keywords
references
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