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In this paper, we investigate shared autonomous and manual control of robotic systems. A trust and self-confidence based autonomy allocation scheme is proposed based on objective and unbiased measures of human-robot collaboration (HRC) systems. We also provide analytical tools to evaluate the long-term effects of the proposed allocation scheme on the overall robot performance and human workload. Experiments...
In distributed multi-agent networks with local interactions, effective resource allocation to attain multiple tasks is a key system performance. In this paper, a dynamic evolutionary task assignment approach for such networks is introduced. According to this novel approach, every agent will allocate resources according to its individually-assigned task prioritization as well as local interactions...
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