Abstract: Systems and methods related to intelligent grippers with individual cup control are disclosed. One aspect of the disclosure provides a method of determining grip quality between a robotic gripper and an object. The method comprises applying a vacuum to two or more cup assemblies of the robotic gripper in contact with the object, moving the object with the robotic gripper after applying the vacuum to the two or more cup assemblies, and determining, using at least one pressure sensor associated with each of the two or more cup assemblies, a grip quality between the robotic gripper and the object.

Abstract: Systems and methods for determining the authenticity of vehicle operational data provided by telematics or other devices are provided. Vehicle performance and/or operational data may be collected and the authenticity of the data stream may be determined based on the whether the data stream includes a watermark in a predetermined location of the data stream or whether the data stream includes a data key comprising a predetermined false vehicle performance data reading. A second data recording device may also record vehicle performance and/or operational data. Both the first and second data recording devices may provide the respective vehicle performance data to a computing device. The computing device may compare the vehicle performance data from the first and second data recording devices to determine authenticity of the vehicle measurement data.

Abstract: A system for a vehicle is provided herein that includes a position sensor configured to identify a location of the vehicle and a heading of the vehicle. A human-machine interface (HMI) is operatively coupled with the vehicle. A controller is in electronic communication with the position sensor and the HMI. The controller is configured to access one or more databases to identify a first location, a first heading, and a first speed for the vehicle, and to identify a first aggregate heading value and a first aggregate speed value associated with the first location; determine that either the heading or the speed of the vehicle is outside of acceptable ranges; and issue a wave-off alert to the HMI when the vehicle is outside of acceptable ranges.

Abstract: Systems and methods related to providing configurations of robotic devices are provided. A computing device can receive a configuration request for a robotic device including environmental information and task information for tasks requested to be performed by the robotic device in an environment. The computing device can determine task-associated regions in the environment. A task-associated region for a given task can include a region of the environment that the robotic device is expected to reach while performing the given task. Based at least on the task-associated regions, the computing device can determine respective dimensions of components of the robotic device and an arrangement for assembling the components into the robotic device so that the robotic device is configured to perform at least one task in the environment. The computing device can provide a configuration that includes the respectively determined dimensions and the determined arrangement.

Abstract: A floor processing device automatically moves within an environment, with a driving attachment, a floor processing unit, an obstacle detection unit, a control unit and a detection unit for detecting device parameters and/or environment parameters control unit is set up to determine an error of the floor processing device based upon the detected parameters that prevents the floor processing device from moving and/or the floor processing device from processing a surface to be processed in such a way that the floor processing device is unable to automatically extricate itself from the error situation. The control unite is set up to analyze the parameters detected by the detection unit with respect to recurring patterns that have a repeatedly encountered combination of an error and at least one chronologically preceding environment and/or device parameter.

Abstract: A robot cleaner for avoiding a stuck situation using artificial intelligence includes a sensing unit configured to detect the stuck situation of the robot cleaner, a driving unit to drive the robot cleaner, and a processor configured to determine a rotation angle of the robot cleaner when the stuck situation is detected through the sensing unit, control the driving unit such that the robot cleaner rotates by the determined rotation angle, and control the driving unit such that the robot cleaner reverses by a certain distance after rotating by the rotation angle.

Abstract: A control apparatus includes a force sensation information acquiring unit for acquiring force sensation information representing a magnitude of at least one of a force and a torque at a distal end of a manipulator while a target item is being transported; a mass information acquiring unit for acquiring mass information representing a mass of the item; a plan information acquiring unit for acquiring plan information representing content of a plan of a trajectory; a force sensation estimating unit for estimating a magnitude of at least one of a force and a torque to be detected at the distal end of the manipulator; and a first detecting unit for detecting an abnormality, based on the magnitude of at least one of the force and the torque represented by the force sensation information and the magnitude of at least one of the force and the torque estimated by the estimating unit.

Abstract: A method for determining vehicle component conditions via performance correlation is provided. A list of doors for maintenance on a transport vehicle is maintained. Measurements for one of the doors based on an inspection of that door are maintained. A determination is made as to whether maintenance is required for the door based on the measurements and a maintenance status is assigned to the door. The door measurements are compared to measurements for other doors of the transportation vehicle. Those other doors with measurements similar to the door are identified and the maintenance status of the door is assigned to the other doors identified.

Abstract: An example implementation for determining mechanically-timed footsteps may involve a robot having a first foot in contact with a ground surface and a second foot not in contact with the ground surface. The robot may determine a position of its center of mass and center of mass velocity, and based on these, determine a capture point for the robot. The robot may also determine a threshold position for the capture point, where the threshold position is based on a target trajectory for the capture point after the second foot contacts the ground surface. The robot may determine that the capture point has reached this threshold position and based on this determination, and cause the second foot to contact the ground surface.

Abstract: An integrated intelligent system includes a first intelligent electronic device, a second intelligent electronic device, a transferable intelligent control device (TICD) and a cross product bus. The first intelligent electronic device performs a first function and the second intelligent electronic device performs a second function. The cross product bus couples the first intelligent electronic device to the transferable intelligent control device. The TICD partially controls behaviors of the intelligent electronic device by sending commands over the cross product bus to the first intelligent electronic device and the TICD partially controls behaviors of the second intelligent electronic device to perform the second function. The TICD is first attached to the first intelligent electronic device to partially control the behaviors of the first electronic device, then detached from the first electronic device, and then attached to the second intelligent electronic device to perform the second function.

Abstract: A vacuum cleaner that can achieve efficient and accurate autonomous traveling. An obstacle detection part detects an object corresponding to an obstacle outside a main casing. A map generation part generates a map indicating information on an area having been traveled by the main casing, based on detection of the object by the obstacle detection part and a self-position estimated by a self-position estimation part during traveling of the main casing. A controller controls an operation of a driving wheel to make the main casing autonomously travel. The controller includes a traveling mode for controlling the operation of the driving wheel so as to make the main casing autonomously travel along a traveling route set based on the map. The controller determines whether or not to change the traveling route for next time based on the obstacle detected by the obstacle detection part during the traveling mode.

Abstract: Disclosed are systems and methods to provide a method for calibrating a touchscreen coordinate system of a touchscreen with an industrial robot coordinate system of an industrial robot for industrial robot commissioning and industrial robot system and control system using the same. In one form the systems and methods include attaching an end effector to the industrial robot; (a) moving the industrial robot in a compliant way until a stylus of the end effector touches a point on the touchscreen; (b) recording a position of the stylus of the end effector in the industrial robot coordinate system when it touches the point of the touchscreen; (c) recording a position of the touch point on the touchscreen in the touchscreen coordinate system; and calculating a relation between the industrial robot coordinate system and the touchscreen coordinate system based on the at least three positions of the end effector stylus and the at least three positions of the touch points.

Abstract: Example methods and devices for touch-down detection for a robotic device are described herein. In an example embodiment, a computing system may receive a force signal due to a force experienced at a limb of a robotic device. The system may receive an output signal from a sensor of the end component of the limb. Responsive to the received signals, the system may determine whether the force signal satisfies a first threshold and determine whether the output signal satisfies a second threshold. Based on at least one of the force signal satisfying the first threshold or the output signal satisfying the second threshold, the system of the robotic device may provide a touch-down output indicating touch-down of the end component of the limb with a portion of an environment.

Abstract: There is provided an in-vehicle timing controller, which includes a main input interface configured to receive input image data from an image processor, an input pin configured to receive a vehicle signal indicating a state of a vehicle from the vehicle, a sub image generator configured to generate sub image data based on the vehicle signal, and an image processing circuit configured to generate output image data to be displayed on a display panel based on at least one of the input image data and the sub image data.

Abstract: A travel direction estimation device mounted on a vehicle including a position detector and an angular velocity detector to estimate a travel direction of the vehicle includes: a first angle processor calculating a first angle based on a change of a position of the vehicle being detected in the position detector and updated at a predetermined time interval, a second angle processor calculating a second angle based on a rotational angular velocity of the vehicle being detected in the angular velocity detector and a detection interval of the position of the vehicle in the position detector, and a travel direction processor calculating the travel direction of the vehicle based on the first angle and the second angle. The travel direction estimation device can estimate a travel direction of a vehicle with a high degree of accuracy.

Abstract: Provided is a single-axis pointing pure magnetic control algorithm for a spacecraft based on geometrical analysis to realize single-axis pointing control of the spacecraft through the pure magnetic control algorithm in which a magnetic torque is only output by a magnetorquer to interact with a geomagnetic field to generate a control torque. The algorithm uses a spatial geometry method to obtain an optimally controlled magnetic torque direction, thereby designing a PD controller. The problem that the traditional magnetic control method is low in efficiency and even cannot be controlled is overcome. The algorithm is simple and easy, can be used in the attitude control field of spacecrafts, and achieves the pointing control in point-to-sun of a solar array and point-to-ground of antennae.

Abstract: An autonomous terrestrial compaction testing vehicle includes a compaction density meter coupled to the vehicle and a controller. The controller is communicatively connected to the compaction density meter and to a controller of a compactor machine that is compacting or has compacted an area of terrain. The controller is configured to autonomously control movement of the vehicle over the compacted area and control the compaction density meter to take a plurality of compaction density measurements at a plurality of locations of the compacted area.

Abstract: A self-propelled robot that self-travels on a structure having a flat surface to perform a cleaning operation, the self-propelled robot includes a robot main body (2), a controller (30) that controls movement of the moving unit in a forward direction and a rearward direction, an operation unit (12a) that is controlled by the controller, and a pair of detection units that are first and second detection units, each of which functioning to detect if there is the flat surface of the structure beneath the detection unit. Wherein, seen from a top view of the robot, the first detection unit and the second detection unit (31a, 31b, 31c, 31d) are both arranged at the front end of the robot.

Abstract: Cross traffic alert system for a host vehicle engaged in a forward or reverse gear position, includes an object detection sensor configured to detect relative positions of a plurality of target objects present in a coverage zone proximate the vehicle, and a processor for receiving the target positional data, detecting established environmental states based on the received data, and classifying a driving environment (e.g., road, parking lot, etc.) based on the detection or not of established environmental states. Threshold alert areas are dynamically adjustable in the coverage zones based on the classified driving environment, where indications of targets in the alert areas may be generated.

Abstract: A system comprises an arm including a bendable section and a force transmission mechanism. The system also comprises an actuation mechanism coupled to the force transmission mechanism to bend the bendable section. The system also comprises an electronic data processor configured to receive sensor data about the bendable section and determine external force information about at least one of a magnitude or a direction of an external force applied to the arm from the sensor data. the processor is also configured to determine a pose of the bendable section from the sensor data and generate control information for the actuation mechanism to maintain the pose of the bendable section in a stationary configuration as the external force is applied to or withdrawn from the arm.