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Research and validation of human-in-the-loop hybrid-augmented intelligence in Sawyer
- Chinese Journal of Intelligent Science and Technology Vol. 1, Issue 3, Pages: 280-286(2019)
- 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. 澳门科技大学，澳门 999078
- 作者简介：
- 基金信息：The National Natural Science Foundation of China(61533019)
DOI：10.11959/j.issn.2096-6652.201933
CLC： TP242.6-
Published Online：2019-09，
Published：20 September 2019
- 稿件说明：
移动端阅览
Haijun FU, Shichao CHEN, Yilun LIN, et al. Research and validation of human-in-the-loop hybrid-augmented intelligence in Sawyer[J]. Chinese journal of intelligent science and technology, 2019, 1(3): 280-286.
Haijun FU, Shichao CHEN, Yilun LIN, et al. Research and validation of human-in-the-loop hybrid-augmented intelligence in Sawyer[J]. Chinese journal of intelligent science and technology, 2019, 1(3): 280-286. DOI： 10.11959/j.issn.2096-6652.201933.
摘要
机器学习根据历史数据的模式预测未来，近年来进行了大量研究并得到了应用，但在处理动态、非完整、非结构化信息上与人类相去甚远。为此，引入人的决策，结合机器学习、知识库，构建了一个人在回路的混合增强智能闭环系统。基于 Sawyer 协作机器人搭建了人机融合实验平台，设计了机器人抓取实验。实验结果表明，相比单一机器学习方式，在引入人类智能后，Sawyer在应对非结构化环境下的抓取任务中表现更佳。
Abstract
Machine learning predicts the future through the patterns of past data
and has gained a lot of research and application in recent years.However
it’s far away from human in dynamic
non-complete
and unstructured information processes.Therefore human decision-making
combined with machine learning
knowledge base were introduced in this paper and a human-in-the-loop hybrid-augmented intelligence closed-loop system was built.Based on Sawyer collaborative robot
a human-machine collaboration experiment platform was built
and a grasping experiment was designed.It turns out that the Sawyer
which is introduced human intelligence
performs better in dealing with unstructured environments than that only machine learning is used.
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references
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