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An estimation algorithm of operational intentions in the machine operation is presented in this paper. State transition relation of intentions was formed using Self-Organizing Map (SOM) from the measured data of the operation and environmental variables with the reference intention sequence. Operational intention was estimated by stochastic computation using a Bayesian particle filter with the trained...
Model of a human-machine system to express the process of cognition-intention-action is presented by referring a concept of an attention in Global Workspace Theory. Based on the model, new approach to estimate intentions of an operator who manipulates machines is proposed by utilizing Self-Organizing Map (SOM) and the Bayes filtering. Probabilities of transition of intentions are approximated by SOM...
For manipulation of remote mobile robots, adequate scheduling of tasks and selecting of operational commands are required. This paper presents an analysis procedure to make the task switching profile visible by utilizing the Self-Organizing Map (SOM) and new cluster growing method. For practical verification, an experiment system with radio-controlled construction equipments was built, and the proposed...
On a remote vehicle manipulation, both a task scheduling and an adequate selecting of operation commands are significant to execute sequential task successfully. Hence, for a future assistive intelligent mechatronics, automatic recognition of the operator's task-switching is required to support him / her timely. In the present research, an analysis procedure to make the task-switching strategy visible...
For a future advanced machine, functions for supporting human by considering not only the situation around the machine but also the operator's skill-level are required. Therefore, an establishment of a method to evaluate the skill is expected. On the general machine manipulation, the task scheduling and the adequate selecting of operation commands are important to execute sequential task successfully...
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