SGER: Operator-Cue-Assisted Machine Vision.

* 该奖项，在探索性研究模式的小额赠款，将探索人类操作员监督之间的平衡 和计算机自动化， 人机合作 这项研究将通过寻找联合收割机 人类高级视觉感知和 任务理解能力与机器人的低水平视觉和定位精度，以优化人机团队在视觉和操作过程中的表现。 这一初步探索的重点是确定如何结合联合收割机先验领域的知识和模型，以及人类操作员的整体视觉和场景感知能力，在执行复杂的机器人任务的精度和高速机器操作。 这项研究为确定在合作努力中分配人类和机器角色的新方法提供了希望，这在广泛的新兴应用中将是重要的。

*** This award, in the Small Grants for Exploratory Research mode, will explore the balance between human operator supervision and computer automation in a human-robot cooperation. The research will do this by finding ways to combine human high-level visual perception and task- understanding capabilities with a robot's low-level vision and positioning precision, to optimize the performance of the human-machine team in vision and manipulation processes. The focus of this initial exploration is to determine ways to combine prior domain knowledge and models, and overall vision and scene perception capabilities of the human operator, with precision and high-speed machine operation in execution of complex robotic tasks. This investigation offers promise of identifying new approaches to allocating human and machine roles in cooperative endeavors, which will be important in a wide range of emerging applications.***