A Bayesian-Based Approach to Human Operator Intent Recognition in Remote Mobile Robot Navigation

2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)(2021)

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摘要
This paper addresses the problem of human operator intent recognition during teleoperated robot navigation. In this context, recognition of the operator’s intended navigational goal, could enable an artificial intelligence (AI) agent to assist the operator in an advanced human-robot interaction framework. We propose a Bayesian Operator Intent Recognition (BOIR) probabilistic method that utilizes: ...
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关键词
Uncertainty,Navigation,Atmospheric modeling,Layout,Probabilistic logic,Bayes methods,Mobile robots
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