The present invention provides a large-scale high-speed rotary equipment measuring and intelligent learning assembly method and device based on vector minimization geometry center, mass center, the center of gravity and the center of inertia, belonging to the technical field of mechanical assembly. The method includes the steps of establishing a four-parameter circular profile measuring model for a single stage of rotor, simplifying the established four-parameter circular profile measuring model for the single stage of rotor, and establishing a four-target optimization model of the geometry center, mass center, the center of gravity and the center of inertia of multiple stages of rotors based on the angular orientation mounting position of each stage of rotor. The device include a base, an air flotation shaft system, an aligning and tilt regulating workbench, precise force sensors, a static balance measuring platform, an upright column, a lower transverse measuring rod, a lower telescopic inductive sensor, an upper transverse measuring rod and an upper lever type inductive sensor.

A device, a method and a program, by which a weight and/or a position of a gravity center of a load attached to a movable part of a robot can be estimated by a simple configuration. The device has a torque sensor configured to detect a torque applied to an axis for driving the movable part of the robot, and a calculation section configured to calculate the weight of the article, by using: a first torque applied to the axis, when the article attached to the movable part is positioned at a first position and represents a first posture; a second torque applied to the axis, when the article attached to the movable part is positioned at a second position different from the first position and represents the first posture; the first position; and the second position.

A standing-up assist device including: a base portion; a shaft portion, having one end connected to the base portion, capable of moving at least up and down; a support portion provided at another end of the shaft portion; a control unit for controlling movement of the shaft portion; and a user information input unit to which information of a user is input, wherein the control unit changes a trajectory of the support portion according to health information on a predetermined part in a body of the user, which has been input from the user information input unit.

Disclosed is an apparatus and method for estimating a road profile for a vehicle. The apparatus includes a camera, processors, and a controller. The processors are configured to obtain a state of the vehicle including a behavior of the vehicle, and obtain a road height from information provided by the camera. The controller is configured to estimate the road profile by changing coordinates of the camera according to the behavior of the vehicle based on a vehicle height, compensating for the road height and a recognition road distance, and matching and filtering multiple road heights.

A method for loading an Unmanned Aerial Vehicle with multiple items is disclosed. The method includes determining a weight, size, and Center of Gravity of each of the multiple items. The method also includes positioning the multiple items relative to one another such that a combined Center of Gravity of the multiple items will be positioned within a predetermined region. The method further includes loading the multiple items onto the Unmanned Aerial Vehicle with the combined Center of Gravity of the multiple items positioned within the predetermined region.

Aspects and implementations of the present disclosure relate, generally, to optimization of the autonomous vehicle technology and, more specifically, to a transfer hub for autonomous trucking operations. The transfer hub supports automated trailer delivery, trailer-tractor matching, trailer-tractor hitching, automated post-hitching visual inspection, automated refueling, parking spot calibration, load verification, load distribution assessment, automated brake inspection, and other improvements to the existing technology.

A self-orienting sensing system for a heating, ventilation, and air conditioning (HVAC) system includes a housing having a main body. The housing defines a sensing aperture in a first portion of the main body and a mounting channel in a second portion of the main body. The self-orienting sensing system includes a sensing element retained within the housing. The sensing element is configured to detect leaked refrigerant that enters the housing via the sensing aperture. The self-orienting sensing system also includes a mounting retainer configured to extend through the mounting channel and couple the housing to an interior surface of an air handling enclosure of the HVAC system. The mounting retainer enables the mounting channel to rotate about the mounting retainer to automatically align the sensing aperture in a target sensing orientation based on a weight of the housing under the force of gravity.

An ingot evaluation method and a detecting apparatus are provided. Defect information of a wafer is obtained from an ingot. The defect information includes a position of at least one defect identified by optical detection. A center-of-gravity position of the defect is determined according to the defect information. Uniformity of the defect is evaluated according to the center-of-gravity position. The uniformity is related to quality of a processed wafer.

A powered balancing mobility device that can provide the user the ability to safely navigate expected environments of daily living including the ability to maneuver in confined spaces and to climb curbs, stairs, and other obstacles, and to travel safely and comfortably in vehicles. The mobility device can provide elevated, balanced travel.

A method for non-destructive detection of egg freshness based on centroid measurement. A real-time distance between the centroid position of an egg and the top of a small end of the egg is measured, the ratio of the distance to the length of the egg is defined as a centroid ratio, models are respectively established regarding a centroid ratio change and the number of days the egg has been stored, and regarding the centroid ratio change and the egg freshness, and the number of the days the egg has been stored and the egg freshness are predicted by means of the established models.