PROJECT TITLE :

Human Supervisory Control of Robotic Teams: Integrating Cognitive Modeling with Engineering Design

ABSTRACT:

The emergence of sensor networks operating at completely different modalities, mobility, and coverage has opened the door to systems involving numerous information sources and analysis tools. These advanced systems often contain both human and robotic elements, and, in many cases, it is the job of humans to process information generated by autonomous agents [one], [2]. The incredible quantity of knowledge generated by modern sensors makes these human operators inclined to info overload, which will have detrimental effects on performance and could cause dire consequences [3]. To alleviate this loss in performance, programs like the recent National Robotic Initiative [4] emphasize collaboration between humans and their robotic partners and envision symbiotic mechanisms to facilitate interactions between various system parts.


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