Inspection robots with configurable interface plates are described. An example inspection robot may have a housing with at least three removable interface plates, each removable interface plate having a coupling interface for an electronic component on a first side, and coupled to at least one of a plurality of electronic boards on a second side. The example inspection robot may further include a drive module configured to couple to at least one of the removable interface plates, and a payload configured to couple to at least one of the removable interface plates. The example inspection robot may further include a means for operating the inspection robot in response to the drive module coupled to one of the removable interface plates, and the payload coupled to any other one of the removable interface plates.

A flexible inspection system includes a robot with a plurality of scanners and a robot controller. The robot controller is configured to receive a vehicle inspection protocol (VIP) for a vehicle being assembled on an assembly line. The VIP includes checkpoints to be scanned on the vehicle and the checkpoints correspond to components installed on the vehicle and connections between components installed on the vehicle. The robot controller commands the robot to move the plurality of scanners per the VIP such that the checkpoints are scanned. A characteristic of each checkpoint is recorded and compared to a reference characteristic such that a pass or no-pass determination of each checkpoint is provided. A vehicle inspection report with the pass/no-pass determinations is provided to an operator such that operator inspections and/or repairs of the checkpoints are made.

A position of a movable part of a coordinate measuring machine (CMM) is determined repeatedly. A position value of the part is measured at a reference location. First and second acceleration values are measured at a first and second measuring location. The second measuring location is closer to a measuring sensor than the first measuring location and the first measuring location is closer to the reference location than the second measuring location. A target and/or actual state value is supplied to a model of the CMM. Estimators are modelled. The model is supplied with a position deviation based on the estimator of the position deviation and deviation based on the estimator of the deviation and the deviation of the measured first and second values. The position of the part is determined from the measured position value in relation to the reference location based on the estimator of the position deviation.

Systems and methods are described, and an example system includes a transport bin configured to carry a baggage item and having spatial reference frame marking detectable by electromagnetic scan and by machine vision. The system includes a robotic arm apparatus at an inspection area, and includes a switched path baggage conveyor that, responsive to electromagnetic scan detection of an object-of-interest (OOI) within the baggage item, conveys the transport bin to the inspection area. The electromagnetic scan generates OOI geometric position information indicating geometric position of the OOI relative to the spatial reference frame marking. The robotic arm apparatus, responsive to receiving the transport bin, uses machine vision to detect orientation of the spatial reference frame marking, then translates OOI geometric position information to local reference frame, for robotic opening of the baggage item, and robotic accessing and contact swab testing on the OOI.

A system for capturing VIN numbers and vehicles images to track vehicle damage through vehicle supply chains which includes a mobile software application and/or robot(s) which moves autonomously around parking lots. The mobile application can direct the user to capture VIN images and/or vehicle images from certain views and collect GPS positions of the same and the robot includes various cameras and sensors to identify vehicles and take pictures of them. All of the captured images of vehicles are sent to a central server/storage where the vehicle images can be checked for damage as compared to locations so that it can be determined who was in possession of the vehicle when damage occurred.

A system includes an inspection robot having an input sensor comprising a laser profiler and a plurality of wheels structured to engage a curved portion of an inspection surface, wherein the laser profiler is configured to provide laser profiler data of the inspection surface; a controller, comprising: a profiler data circuit structured to interpret the laser profiler data; determine a feature of interest is present at a location of the inspection surface in response to the laser profiler data; and wherein the feature of interest comprises a shape description of the inspection surface at the location of the feature of interest.

Systems and methods are described, and an example system includes a transport bin configured to carry a baggage item and having spatial reference frame marking detectable by electromagnetic scan and by machine vision. The system includes a robotic arm apparatus at an inspection area, and includes a switched path baggage conveyor that, responsive to electromagnetic scan detection of an object-of-interest (OOI) within the baggage item, conveys the transport bin to the inspection area. The electromagnetic scan generates OOI geometric position information indicating geometric position of the OOI relative to the spatial reference frame marking. The robotic arm apparatus, responsive to receiving the transport bin, uses machine vision to detect orientation of the spatial reference frame marking, then translates OOI geometric position information to local reference frame, for robotic opening of the baggage item, and robotic accessing and contact swab testing on the OOI.

A system includes an inspection robot for performing an inspection on an inspection surface with an inspection robot, the apparatus comprising a position definition circuit structured to determine an inspection robot position on the inspection surface; a data positioning circuit structured to interpret inspection data, and to correlate the inspection data to the inspection robot position on the inspection surface; and wherein the data positioning circuit is further structured to determine position informed inspection data in response to the correlating of the inspection data with the inspection robot position, wherein the position informed inspection data comprises absolute position data.

Techniques for determining a metric for an item that represents a condition of the item are described herein. For example, a request for a metric determination for an item may be received where the request is associated with a user identifier. Browsing history information and purchase history information from a website may be obtained based at least in part on the user identifier. The browsing history information and the purchase history information may be filtered to obtain a data set based at least in part on a plurality of item categories associated with items included in the browsing history information and the purchase history information. A metric for the item may be determined based at least in part on the data set and a base metric for the item.

A robotic apparatus comprising an articulated arm mounted to a chassis and having an end effector capable of inspecting the root and tip, as well as the length between the root and tip, of an airfoil-shaped body (such as a rotorblade). The robotic apparatus has means for propelling the chassis in a spanwise direction. The chassis-mounted articulated arm facilitates the scanning of sensors over the root or tip of the airfoil-shaped body without repositioning the chassis.