A RGB-D sensor and speech interaction based object manipulation system with improved CBR-BDI reasoning

Yunhan Lin, Huasong Min, Haotian Zhou, Fan Wu, Zhi Xiong
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引用次数: 2

Abstract

We design a kind of object manipulation system, which is based on Robot Operating System (ROS) distributed processing framework. This system can communicate with human beings; can percept the 3D environment by RGB-D sensor; has the ability of reasoning; can transfer the natural language intention to machine instruction to control the movement of manipulator. In particular, an improved Case-Based Reasoning-Belief-Desire-Intention (CBR-BDI) reasoning method is proposed. Three parts are added on the CBR-BDI reasoning system, which are map matching, desire analysis and guidance. Such an improvement makes the reasoning engine can carry out in-depth reasoning actively when the user's intention is incomplete and/or mismatched with actual scene. The system could analysis the information which user inputted, interact with human and environment, guide user by conversation, improve user's beliefs, finally get the standardization of complete intention and transfer the intention to machine instructions. Experiment results prove the validity and practicability of our proposed method.
基于RGB-D传感器和语音交互的改进CBR-BDI推理对象操作系统
本文设计了一种基于机器人操作系统(ROS)分布式处理框架的对象操作系统。这个系统可以与人类交流;通过RGB-D传感器感知三维环境;有推理能力的;可以将自然语言意图转化为机器指令来控制机械手的运动。特别提出了一种改进的基于案例的推理-信念-欲望-意图(CBR-BDI)推理方法。在CBR-BDI推理系统中增加了地图匹配、需求分析和引导三个部分。这样的改进使得推理引擎可以在用户意图不完整和/或与实际场景不匹配的情况下主动进行深度推理。该系统可以对用户输入的信息进行分析,与人、环境进行交互,通过对话引导用户,提高用户的信念,最终得到完整意图的标准化,并将意图转化为机器指令。实验结果证明了该方法的有效性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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