Although many researchers have begun to study the area of Cyber Physical Social Sensing\n(CPSS), few are focused on robotic sensors. We successfully utilize robots in CPSS, and propose\na sensor trajectory planning method in this paper. Trajectory planning is a fundamental problem in\nmobile robotics. However, traditional methods are not suited for robotic sensors, because of their low\nefficiency, instability, and non-smooth-generated paths. This paper adopts an optimizing function\nto generate several intermediate points and regress these discrete points to a quintic polynomial\nwhich can output a smooth trajectory for the robotic sensor. Simulations demonstrate that our\napproach is robust and efficient, and can be well applied in the CPSS field.
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