Mitsubishi Electric Corporation

Mitsubishi Electric Research Laboratories, Inc.

Toshisada Mariyama

Wataru Matsumoto

Mamoru Miura

Stefano Di Cairano

Yasushi Sato

Rien Quirynen

Ankush Chakrabarty

Mio Motodani

Genta Yoshimura

Masae Sawada

Takayuki Semitsu

Minas Liarokapis

Kunihiko Fukushima

Koki Nakane

Mohit Srinivasan

Rin Ito

Nobuyuki Yoshikawa

Hiroaki Hokari

Saori Matsunaga

Naoki Taguchi

Mojtaba Shahmohammadi

Joao Pedro Sansao Buzzatto

Junbang Liang

Takashi Nammoto

In a thermal load estimation device, a process in which a state estimating unit estimates a state amount indicating a state of a target area at an estimation target time by using measurement data obtained by measuring a state amount of the target area, air conditioner operation data indicating an operation state of an air conditioner disposed in the target area, and a thermal load of the target area estimated by a thermal load estimating unit, and a process in which the thermal load estimating unit estimates the thermal load of the target area by using the measurement data, the air conditioner operation data, and an estimation value of the state amount of the target area estimated by the state estimating unit are alternately performed, so that a thermal load likely to be the thermal load of the target area at the estimation target time is estimated.

Thermal load estimation device, air conditioning control system, and thermal load estimation method

Gripper for robot

A controller for controlling a motion of at least one device subject to constraints on the motion, is disclosed. The controller comprises a processor and a memory, where the controller inputs parameters of the task including the state of the at least one device to a neural network trained to output an estimated motion trajectory for performing the task. Further, the controller extracts at least some of the integer values of a solution to a mixed-integer optimization problem for planning an execution of the task that results in the estimated motion trajectory. Further, the controller solves the mixed-integer optimization problem for the parameters of the task with corresponding integer values fixed to the extracted integer values to produce an optimized motion trajectory subject to the constraint and changes the state of the at least one device to track the optimized motion trajectory.

Controller for optimizing motion trajectory to control motion of one or more devices

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

An image analysis device includes a person detecting unit for detecting person images from image information from a surveillance camera, and acquiring both pieces of person image information as a result of the detection of person images, and pieces of attribution information about persons corresponding to the pieces of person image information, and a person narrowing down unit for performing narrowing-down of person image information with respect to the pieces of person image information and the pieces of person attribution information which are acquired by the person detecting unit, on the basis of a person narrowing down rule, to acquire person image information after the narrowing-down and attribution information about a person corresponding to the person image information.

Image analysis device, image analysis method, and recording medium

An element construction unit compares output values of one or more elements included in an intermediate layer calculated by an output value calculating unit with a threshold value, and the number of elements included in the intermediate layer is maintained when any of the output values out of the output values of the one or more elements included in the intermediate layer is greater than the threshold value, and the number of elements included in the intermediate layer is increased when all of the output values of the one or more elements included in the intermediate layer are equal to or less than the threshold value.

Apparatus and network construction method for determining the number of elements in an intermediate layer of a neural network

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.

Growing community of inventors

Tokyo, Japan

Toshisada Mariyama