Compass and robot path recording method

Abstract

A compass comprises a compass body, the compass body is provided with a pointer and a capacitor unit, the capacitor unit is arranged under the pointer, the pointer rotates along the axis of the compass body, the lengths of the capacitor unit in the radius direction of the compass body are different, and the capacitor unit and the pointer form a capacitor. Compared with the prior art, according tothe invention, the unique capacitor unit is arranged; the pointer has different capacitance values at different angles; then, the position of the pointer is judged through the capacitance value; according to the robot walking path drawing method and device, the overall structure is simple, the number of needed sensors is small, the amount of calculation needed during terrain detection is small, the cost is low, and dependence on network signals and GPS signals is lower.

Description

technical field [0001] The invention relates to the technical field of robot detection, in particular to a compass and a robot path recording method. Background technique [0002] When the robot records the path, most of them use video recognition, acceleration sensor, and satellite positioning to record the path. This recording method requires a lot of equipment and high manufacturing costs; secondly, it requires a lot of calculations, especially in some sparsely populated places, where multiple robots are dispatched together, which will generate a lot of load on the calculation of the server or the robot itself. There is a situation where the specific path cannot be calculated for a long time after the robot has completed the path of exploration; third, a good GPS signal and network signal are required, but the robot often encounters poor signal when detecting When , this will seriously affect the terrain detection effect. [0003] Therefore, it is necessary to provide a...

AI Technical Summary

Problems solved by technology

This recording method requires a lot of equipment and high manufacturing costs; secondly, it requires a lot of calculations, especially in some sparsely populated places, where multiple robots are dispatched together, which will generate a lot of load on the calculation of the server or the robot itself. There is a situation where the specific path cannot be calculated for a long time after the robot has completed the path of exploration; third, a good GPS signal and network signal are required, but the robot often encounters poor signal when detecting When , this will seriously affect the terrain detection effect

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