Human Supervisory Control of Automated Systems discusses elements of the interactions between …
Human Supervisory Control of Automated Systems discusses elements of the interactions between humans and machines. These elements include: assignment of roles and authority; tradeoffs between human control and human monitoring; and human intervention in automatic processes. Further topics comprise: performance, optimization and social implications of the system; enhanced human interfaces; decision aiding; and automated alterting systems. Topics refer to applications in aerospace, industrial and transportation systems.
This resource is a video abstract of a research paper created by …
This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:
"Researchers from China have created an algorithm that could make today’s automated systems even more powerful. The algorithm is based on a technique called model predictive control. This type of control is what makes many smart guidance systems, well, smart. Consider, for example, a self-guided robot. To be useful, the robot must be able to manage its fuel resources wisely under a slew of conditions that are subject to change, including terrain, wind speed, and distance traveled. Model predictive control tracks all these factors on the fly to ensure the robot travels along the most efficient route. The key to mapping that route is determining what set of actions the robot can carry out to meet all the environmental constraints it faces simultaneously. Mathematically, this small cluster of solutions is what’s known as the feasible set of the system—the discovery of which can be treated as a geometry problem. The objective: find the shape that contains the full set of possible solutions..."
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