Mitsubishi Electric Corporation

Mamoru Miura

Wataru Matsumoto

Toshisada Mariyama

Masashi Watanabe

Yoshimi Moriya

Yusuke Itani

Takuma Kadoya

Katsuyuki Kamei

Hideyuki Masui

Ayako Nemoto

A geographic object recognition unit () recognizes, using image data () obtained by photographing in a measurement region where a geographic object exists, a type of the geographic object from an image that the image data () represents. A position specification unit () specifies, using three-dimensional point cloud data () indicating a three-dimensional coordinate value of each of a plurality of points in the measurement region, a position of the geographic object.

Geographic object detection apparatus and geographic object detection method

An imaging unit, a control parameter generation unit, a control unit, and a drive unit are provided. The imaging unit captures an image including two objects. The control parameter generation unit feeds information of the captured image including the two objects into an input layer of a neural network, and outputs a position control amount for controlling the positional relation of between the two objects as an output layer of the neural network. The control unit controls current or voltage to control the positional relation between the two objects by using the outputted position control amount. The drive unit changes a position of one of the two objects by using the current or the voltage. Here, the control parameter generation unit selects the neural network from a plurality of neural networks. Therefore, even if there are differences between objects or errors in the positional relationship between the two objects, alignment can be performed more accurately.

Position control device and position control method

In a case of performing operations including alignment and insertion regarding two objects, a path setting unitand an actor unitare provided to learn a control amount. The path setting unitprovides the amount of movement for removing an object from its inserted position, and for locating it on and around the path of removing. The actor unitobtains positions of the object and the values of a force sensorthere to perform learning by letting the positions of the object be the values for the output layer and letting the values of the force sensorbe the values for the input layer. Therefore, learning data can be collected efficiently.

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Tokyo, Japan

Mamoru Miura