一个泊松光谱模型，用于模拟由机器人观察到的人类数据的时间模式

2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Pub Date : 2016-10-09 DOI:10.1109/IROS.2016.7759591

Ferdian Jovan, J. Wyatt, Nick Hawes, T. Krajník

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引用次数: 18

摘要

自主机器人的效率取决于它们对操作环境的理解程度。传统的环境模型大多侧重于空间表征，而在人类居住的环境中长期运行的移动机器人需要具有基本的人类行为模型。

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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A Poisson-spectral model for modelling temporal patterns in human data observed by a robot

The efficiency of autonomous robots depends on how well they understand their operating environment. While most of the traditional environment models focus on the spatial representation, long-term mobile robot operation in human populated environments requires that the robots have a basic model of human behaviour.

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2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

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