Abstract: A system mounted in a vehicle for agricultural applications includes a master apparatus and one or more slave apparatus. The master apparatus includes a central image-capture device and a master control device that is configured to acquire first geospatial location data including a first precision value and obtain location correction data from an external device. The master control device further generates a second geospatial location data including a second precision value by applying the location correction data to the first geospatial location data. The master control device further communicates the generated second geospatial location data to the slave control device. Thereafter, each slave control device is configured to determine one or more time slots in advance to automatically perform a determined action when the vehicle is in motion.

Abstract: A system for determining a damper velocity in solid axle suspension for a vehicle includes a solid axle, a pair of dampers corresponding to a left wheel and a right wheel of the vehicle, and a pair of distance sensors. The pair of distance sensors each generate sensor signals that are indicative of respective distances between respective portions of the frame of the vehicle and the solid axle. The system also includes one or more controllers in electronic communication with the pair of distance sensors. The one or more controllers access a pair of three-dimensional look-up tables that each correspond to one of the dampers of the pair of dampers, wherein each three-dimensional look-up table defines a relationship between the respective distances measured by the pair of distance sensors and the respective damper length of each damper.

Abstract: While a controller performs an elevation operation that is at least either an operation of lowering a holder or an operation of raising the holder, the controller (i) calculates a unit elevation amount, which is an amount by which the holder is raised or lowered per unit rotation amount of the drive motor in an elevation operation range that is a range of heights of the holder in the elevation operation, in accordance with a change in a diameter of an outer circumferential surface of a belt wound around a drum due to winding and unwinding of the belt, and (ii) determines a rotation amount of a drive motor for the elevation operation based on the unit elevation amount.

Abstract: A substrate transfer method includes receiving first and second substrates by a pick of a first transfer device, detecting shift amounts of the first and second substrates, calculating a correction amount of a delivery position of the pick based on the shift amount of the first substrate, and moving the pick to the corrected delivery position to respectively deliver the first and second substrates to a first and second mounting sections, moving a first pick of a second transfer device to a receiving position of the first mounting section to receive the first substrate, calculating a correction amount of a receiving position of a second pick of the second transfer device based on the correction amount of the delivery position and the shift amount of the second substrate; and moving the second pick to the corrected receiving position of the second pick to receive the second substrate.

Abstract: Embodiments disclosing a controller for controlling a robot to perform a task are provided. The task is performed in an environment that is represented by an input image. The controller causes segmenting of an object in the input image. A confidence level of segmentation is updated by comparing the segmented object with constrained affined transformations of a template of the object. The constrained affine transformations are based on constraints indicative of a property of the object. The property of the object and the updated confidence level of segmentation are then used for performing the task.

Abstract: An imaging apparatus includes a structural support rigidly coupled to a surface of a mobile robot and a plurality of perception modules, each of which is arranged on the structural support, has a different field of view, and includes a two-dimensional (2D) camera configured to capture a color image of an environment, a depth sensor configured to capture depth information of one or more objects in the environment, and at least one light source configured to provide illumination to the environment. The imaging apparatus further includes control circuitry configured to control a timing of operation of the 2D camera, the depth sensor, and the at least one light source included in each of the plurality of perception modules, and at least one computer processor configured to process the color image and the depth information to identify at least one characteristic of one or more objects in the environment.

Abstract: A server includes a communication device and a storage device. The communication device receives the interference data from the client device connected via the wide area network. The interference data is data which associates teaching point candidates indicating candidates for the teaching points of the industrial robot with interference results indicating whether or not the robot interferes with surrounding objects when the position and posture of the robot is aligned with the teaching point candidate. The storage device stores the interference data received by the communication device.

Abstract: A robot system includes a robot, an attraction pad, a sensor, and a controller. The robot includes a hand whose orientation is changeable. The attraction pad is attached to the hand, attracts a workpiece, and holds the workpiece. The sensor is attached to the hand, includes a detection surface, and detects contact between the detection surface and the workpiece. The controller can determine whether the workpiece has been brought into surface contact with the detection surface based on a result of detection made by the sensor and changes the orientation of the hand, until the workpiece makes surface contact with the detection surface, and then makes the attraction pad hold the workpiece.

Abstract: A system for mapping a lash extension distribution curve for use by a micro-robot is disclosed herein. The system may include at least one micro-robot, at least one image sensor, and a computing device. The computing device may include at least one processor and a non-transitory computer-readable medium, the latter of which has computer-executable instructions stored thereon. In response to execution by the at least one processor, the computer-executable instructions may cause the computing device to perform actions that include: receiving an image of a subject's eye from the image sensor; identifying subject eye landmarks in the image; mapping a lash extension design to the image; determining the lash extension distribution curve; and transmitting the lash extension distribution curve to the micro-robot. In some embodiments, the computing device may further perform actions related to the generation of the lash extension design and lash extension distribution curve.

Abstract: In a state estimation method for a legged robot, first sensor information and second sensor information of the legged robot are received. First state information of the legged robot for a period of time is determined, via a first Kalman filter, based on the first sensor information and the second sensor information. Third sensor information of the legged robot is received. Second state information of the legged robot is determined, via a second Kalman filter, based on the third sensor information and the first state information for the period of time. First state information of the legged robot at a current time is updated based on the second state information of the legged robot, to determine state information of the legged robot at the current time.

Abstract: In various examples, a technique for performing spatial mapping and planning with large language models using knowledge graphs may include querying a temporal knowledge graph to predict a next step that a robotic system is to traverse in an environment, wherein the temporal knowledge graph comprises a graph representation of entities and relationships in the environment, wherein the entities and relationships in the graph representation are produced based on sensor data captured from the environment. The technique also may include receiving additional sensor data captured from the environment. The technique further may include generating, via a machine learning model, spatial and temporal data associated with the additional sensor data. The technique still further may include updating, via the machine learning model, the temporal knowledge graph to include representations of the spatial and temporal data, based on a similarity between the spatial and temporal data and the graph representation.

Abstract: Among other things, we describe techniques for estimating a speed profile for a proposed trajectory for a vehicle and operating the vehicle along the proposed trajectory according to the speed profile, including a method for: obtaining, by a planning circuit on a vehicle, a proposed trajectory for the vehicle in response to a driving scenario; obtaining, by the planning circuit, an estimated speed profile, and a confidence score, wherein the confidence score represents a similarity of the estimated speed profile to an actual speed profile that would be generated by a control circuit for the proposed trajectory; determining whether the confidence score meets a confidence threshold; and in accordance with a determination that the confidence score exceeds the confidence threshold, operating, by a control circuit on the vehicle, the vehicle along the proposed trajectory.

Abstract: The present disclosure relates to a robot calibration method based on an equivalent kinematic model and a device thereof. The method includes: calibrating a robot real system with a degree of freedom of f?6 and containing multiple types of time-invariant error sources as a kinematic equivalent system with six degrees of freedom; wherein 6-dimensional pose vectors y of output members of the equivalent system and the real system are the same, and the equivalent system includes a forward position solution model: y=f(?(q,?),?0); constructing a function relationship between ? and ?; acquiring a pose measurement value of the real system; calculating an estimator {circumflex over (?)}i, of the adjustable constant parameter vector ? in a decoupling manner in a joint space; modifying a driving joint variable corresponding to a received motion trajectory instruction set; and driving the robot to move according to the modified driving joint variable.

Abstract: A surgical robotic system includes a robotic arm having an instrument drive unit and an access port configured to be secured to the robotic arm. The system also includes an instrument configured to couple to the instrument drive unit, where the instrument drive unit is configured to actuate the instrument. The system also includes a controller configured to: instruct the robotic arm to advance the instrument into the access port; instruct the instrument drive unit to calibrate the instrument inside the access port; determine a type of the access port during calibration of the instrument; and store the type of the access port in a memory.

Abstract: A covariate shift generally refers to the change of the distribution of the input data (e.g., noise distribution) between the training and inference regimes. Such covariate shifts can degrade the performance grasping neural networks, and thus robotic grasping operations. As described herein, an output of a grasp neural network can be transformed, so as to determine appropriate locations on a given object for a robot or autonomous machine to grasp.

Abstract: A computer-implemented method for retrieving flight data in a medical emergency includes receiving, by one or more processors of a first user device and via an application programming interface, an indication of a medical emergency aboard an aircraft; retrieving, by the one or more processors and responsive to receiving the indication of the medical emergency, flight data associated with the medical emergency from a flight management system associated with the aircraft; automatically categorizing, by the one or more processors, the retrieved flight data based at least on one or more flight data fields associated with the medical emergency to generate categorized flight data; and transmitting, by the one or more processors, at least some of the categorized flight data to a second user device external to the aircraft.

Abstract: An adaptive speed control system and method for adapting control of an electric motor under a changing load condition. A load torque observer determines a load torque value when the motor is operating at a constant speed, and the load torque value is used to adapt a torque. An inertia observer determines an inertia load value when the motor is operating at a changing speed, and the inertia load value is used to adapt a controller gain. An active disturbance input decoupler provides disturbance rejection when the motor is operating at a constant speed. An adaptive control switch switches the load torque observer between driving the inertia observer and driving the active disturbance input decoupler. The system may be configured for a multi-axis system in which multiple motors are each associated with a different axis of motion, and multiple adaptive speed control systems are each associated with a different motor.

Abstract: The present application relates to a pre-stacking device, a pre-stacking method, and a battery processing equipment. The pre-stacking device includes: at least two conveying members, each having at least two bearing positions for placing battery cells; a pre-stacking platform with a stacking station; and a gripping mechanism arranged between the pre-stacking platform and all the conveying members to move the battery cells on each of the conveying members to the stacking station; the gripping mechanism being configured to be capable of gripping corresponding battery cells from each of the conveying members according to a preset battery-cell polarity combination mode.

Abstract: Systems and methods for automated wire pickup using image-based robot guidance. The machine vision-based system includes: a robot arm; a tool head coupled to the distal end of the robot arm and including a wire gripper motor; a wire gripper movably coupled to the tool head and operatively coupled to the wire gripper motor; a wire holder configured for clamping a wire; camera means mounted to the distal end of the robot arm and having first and second fields of view which intersect in a volume of space that includes the tip of the wire gripper and the wire holder; and a computer system configured to control operation of the robot arm motors and wire gripper motor. More specifically, the computer system is configured for visually estimating the position and orientation of a contact-equipped wire being held by the wire holder and then generating robot guidance to enable automated pickup of the end section of the wire by the wire gripper.

Abstract: A position obtaining device includes a driver and a processor. The processor, in response to a velocity of the device being moved by the driver being a predetermined velocity or less, derives a first attitude angle with a first likelihood as an attitude angle of the device; in response to a predetermined number of second light sources or more being captured in an image obtained by a second camera, derives a three-dimensional position of the device and a second attitude angle with a second likelihood lower than the first likelihood as the attitude angle of the device; determines a likelihood of the attitude angle and the three-dimensional position of the device estimated based on a result of the first attitude angle and a result of the three-dimensional position and the second attitude angle; and controls the velocity in accordance with the determined likelihood.