Positioning method and equipment for cleaning robot
A technology for cleaning robots and positioning methods, which is applied in the field of positioning methods and equipment for cleaning robots, can solve the problems of increased positioning costs for cleaning robots, achieve low hardware costs, avoid cumulative errors, and improve positioning accuracy
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[0027] 600. Estimate a prediction result of the current pose and calculate an optimization result of the current pose by using the perceptual model and the positioning data through a probabilistic method.
[0028] The probabilistic method is used for positioning, that is, the probability distribution is maintained at all possible positions of the robot. As the robot moves, new environmental data is perceived, and the probability distribution is updated, thereby reducing the uncertainty of the robot's position. Specific probabilistic positioning methods include Kalman filtering, Markov positioning, multi-hypothesis tracking, and Monte Carlo positioning.
[0029] The following takes the Kalman filter as an example to introduce the process of obtaining the optimization result of the current pose according to the positioning data, see Figure 5 :
[0030] First, a discrete control process system that can be described by a linear stochastic differential equation is introduced, bec...
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