A study of the joint decision between spatial intelligence and agent intelligence based on multi-source information

2013 IEEE International Conference on Robotics and Biomimetics (ROBIO) Pub Date : 2013-12-01 DOI:10.1109/ROBIO.2013.6739834

Wenyu Li, Qi Li, F. Duan, J. T. Tan, Jing Yuan, Jin Zhang

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引用次数: 1

Abstract

This paper proposes a joint decision approach of intelligence fusion based on two kinds of intelligence, which is used in the domestic indoor environment for the planar mobile robot reaching the destination avoiding the obstacles. Spatial intelligence and agent intelligence provide control decisions for fusing based on the multi-source information. In this work, ceiling cameras observe the objects' information on the ground for spatial intelligence to stitch and analyze the occupancy grid map. Infrared sensor modules detect the obstacles at the front of the robot as agent intelligence. Fusion intelligence system decides the final control strategy based on the spatial intelligence and agent intelligence in order to reach the destination point in the indoor environment. The experimental results show that the method is feasible and the fusion intelligence behaves better than the single intelligence, which verifies the possibility and excellence of utilizing the intelligence fusion for robot action in the domestic indoor environment.

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基于多源信息的空间智能与agent智能联合决策研究

提出了一种基于两种智能的智能融合联合决策方法，并将其应用于国内室内环境下平面移动机器人避障到达目的地的问题。空间智能和智能体智能为基于多源信息的融合提供控制决策。在这项工作中，天花板摄像头观察地面上的物体信息，进行空间智能拼接和分析占用网格图。红外传感器模块检测机器人前方的障碍物作为代理智能。融合智能系统基于空间智能和智能体智能来决定最终控制策略，以达到室内环境中的目标点。实验结果表明，该方法是可行的，融合智能的性能优于单一智能，验证了将智能融合应用于国内室内环境下机器人动作的可能性和优越性。

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2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)

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