论文信息 - Learning error-recovery strategies in telerobotic systems

Learning error-recovery strategies in telerobotic systems

The reduction of the dependence of the autonomous system on the human operator when recovering from error states is addressed. The focus is on the problem of formulating error recovery strategies, rather than that of the overall planning of complex tasks. A novel approach that utilizes explanation-Xased learning as a framework for the acquisition of error recovery knowledge is presented.<<ETX>>

Laeeque Daneshmend | Yigong Zheng

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