Subway carriage disinfection robot and automatic navigation method thereof
An automatic navigation and robot technology, applied in the field of robots, can solve the problems of robots losing coordinates, unable to realize automatic navigation and autonomous disinfection, etc., and achieves the effect of good adaptability and accurate pose estimation results.
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Embodiment 1
[0057] A subway car disinfection robot, including a robot body and an atomization system, such as figure 2 and Figure 4 As shown, the atomization system is placed in the inner cavity of the robot body, and is provided with a mist outlet 2, a mist outlet hose 3 and an atomization box 4 in sequence from top to bottom. like Figure 8 As shown, the bottom of the atomizing box 4 is provided with several atomizing plates 20 .
[0058] Piezoelectric discs 24 are arranged under the piezoelectric substrate of the atomizing plate. After the piezoelectric discs are energized, multiple waveforms are generated by mutual vibration. Under the action of motion inertia, the liquid is atomized on the flow channel of the atomizing plate. At the same time, if Figure 5 As shown, there are also air holes 23 with a diameter of 0.1 mm under the atomizing plate. The air outlet structure of the air hole 23 is as follows: Image 6 As shown, the flow channel is connected to the micro air compre...
Embodiment 2
[0071] An automatic navigation method for a subway car disinfection robot, comprising the following steps:
[0072] Step 1. A sub-graph is generated from the lidar scan frames scanned continuously for a period of time. The sub-graph adopts the map representation model of the probability grid. When a new lidar scan frame is inserted into the probability grid, the grid status is updated, as follows. :
[0073] The pose of the robot can be calculated by ξ=(ξ x ,ξ y ,ξ θ ) to represent, ξ x and ξ y represents the amount of translation in the x and y directions, ξ θ Represents the amount of rotation in a two-dimensional plane. Record the data measured by the lidar sensor as The initial laser spot is The pose transformation of the lidar scan data frame mapped to the subgraph is denoted as T ξ , which can be mapped to the subgraph coordinate system by formula (1):
[0074]
[0075] In the formula, R i Represents the rotation angle of the lidar observation pose, t i R...
Embodiment 3
[0119] An automatic navigation method for a subway car disinfection robot, comprising the following steps:
[0120] Step 1. A sub-graph is generated from the lidar scan frames scanned continuously for a period of time. The sub-graph adopts the map representation model of the probability grid. When a new lidar scan frame is inserted into the probability grid, the grid status is updated, as follows. :
[0121] The pose of the robot can be calculated by ξ=(ξ x ,ξ y ,ξ θ ) to represent, ξ x and ξ y represents the amount of translation in the x and y directions, ξ θ Represents the amount of rotation in a two-dimensional plane. Record the data measured by the lidar sensor as The initial laser spot is The pose transformation of the lidar scan data frame mapped to the subgraph is denoted as T ξ , which can be mapped to the subgraph coordinate system by formula (1):
[0122]
[0123] In the formula, R i Represents the rotation angle of the lidar observation pose, t i R...
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