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In recent years because of the increasing number and types of scientific payloads on a probe, the constraints between payload and probe and the constraints among payloads have become increasingly complex. The technology of constraint processing has gradually become a focus of research in deep space planning. In this paper, we propose a constrained-programmed planner called DSPlan for deep space planning...
Temporal reasoning is one of the cognitive capabilities humans involve in communicating with others and everything appears related because of temporal reference. Therefore, in this paper a geometric dynamic temporal reasoning algorithm is proposed to solve the temporal reasoning problem, especially in autonomous planning and scheduling. This method is based on the representation of actions in a two...
This paper presents an action guided constraint satisfaction technique for planning problem. Different from the standard algorithms which are almost domain independence and cannot reflect the characteristics of the planning progress, we discuss how the action rules in planning act in constraint satisfaction problems. Based on the conclusion, an action directed constraint is proposed to guide the variable...
During the deep space exploration missions a lot of attitude maneuvers need to be completed for the change of different attitude. Meanwhile, in the course of the explorer attitude maneuver there are many attitude pointing constraints due to the diversity of space tasks. Firstly, attitude kinematic and dynamic equations based on quaternion are established in this paper, which laid the foundation for...
In deep space exploration, unknown environment require the real-time controlling on an explorer, however the time delay of communication and signal blocking by stars make it impossible for the explorer to achieve real-time controlling. In order to solve the real-time attitude controlling problem for deep space explorers, the characteristics of complex system structure, coupling constraints, and parallel...
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