Abstract: Methods and systems are provided for conducting a fuel tank diagnostic. In one example, a method comprises sealing a fuel tank of a vehicle, retrieving data related to fuel tank pressure from a crowd of vehicles, and indicating the fuel tank of the vehicle being diagnosed is degraded responsive to data related to fuel tank pressure from the crowd insufficiently correlating with a set of data related to fuel tank pressure from the vehicle. In this way, fuel tank degradation may be indicated without coupling the fuel tank of the vehicle to atmosphere, which may reduce a release of undesired evaporative emissions to atmosphere.

Abstract: Various examples are provided related to end effectors for use in, e.g., automation of sewing robots. In one example, among others, a compliant perimeter end effector includes a mounting bracket having a contact mounting flange, a plurality of compliant material contact elements coupled about a perimeter of the contact mounting flange. The mounting bracket can couple to a manipulator including, e.g., an industrial robot or other manipulation assembly. The compliant material contact elements can include a contact interface that can engage with a piece of material. The compliant material contact elements can precisely transfer material on a workspace with surface irregularities while equally distributing force to the material.

Abstract: This robot system includes a robot, and a controller which sets an operation limitation area for limiting operations of the robot, and the controller resets the operation limitation area by using at least one of information about a floor surface where an object person conducts tasks at a surrounding area of the robot, information about a structure with which the object person may come into contact, information about a non-target object who exists in a vicinity of the object person, and information about another robot which exists in a vicinity of the object person.

Abstract: Methods, systems, and apparatus, including computer-readable media, for robot grasp learning. In some implementations, grasp data describing grasp attempts by robots is received. A set of the grasp attempts that represent unsuccessful grasp attempts is identified. Based on the set of grasp attempts representing unsuccessful grasp attempts, a grasp model based on sensor data for the unsuccessful grasp attempts. After training the grasp model, a performance level of the trained grasp model is verified based on one or more simulations of grasp attempts. In response to verifying the performance level of the trained grasp model, the trained grasp model is provided to one or more robots.

Abstract: A desired departure temperature is determined for a battery, having a temperature, in a vehicle based at least in part on trip information associated with a trip. A temperature controlling system is used to bring the temperature of the battery towards the desired departure temperature, wherein the vehicle begins the trip with the battery at the desired departure temperature.

Abstract: The present disclosure provides an engine stop/start control system for a vehicle comprising a first engine restart module configured to set a restart frequency and duration of an engine in response to a sensed ambient temperature, a second engine restart module configured to control the engine in response to a sensed characteristic temperature associated with the engine, a third engine restart module configured to control the engine in response to occurrence or non-occurrence of at least one expected charging event along a predefined route, a fourth engine restart module configured to control the engine in response to a state-of-charge of an energy storage device, and a route optimization module configured to set and adjust a proposed route to a destination that results in reduced engine usage.

Abstract: A data recording apparatus, data recording system and an orientation determination method thereof is disclosed. The data recording apparatus may include a housing, a wireless communication interface, one or more memories that store executable code; and one or more processors configured to execute the executable code, which causes the one or more processors to: control the communication interface to obtain data from Flight Data Acquisition Unit (FDAU) and store the obtained data in the one or more memories. The obtained data may include one or more of flight data, cockpit data (e.g., cockpit voice data), or cabin data (e.g., cabin voice data). The data recording apparatus may include a detachable attachment means for allowing the data recording apparatus to separate from the airplane in the event of a crash via a passive detachment means.

Abstract: In an embodiment, a robotic arm includes: a base; at least one link secured to the base; a gripper secured to the at least one link, wherein: the gripper comprises a finger, the gripper is configured to secure a wafer while the at least one link is in motion, and the gripper is configured to release the wafer while the at least one link is stopped, a sensor disposed on the finger, the sensor configured to collect sensor data characterizing the robotic arm's interaction with a semiconductor processing chamber while the wafer is secured using the finger.

Abstract: A navigational system for a host vehicle may comprise at least one processing device. The processing device may be programmed to receive a first output and a second output associated with a host vehicle, wherein at least one of the outputs is received from a sensor onboard the host vehicle. The processing device may identify a target object in the first output and determine whether a characteristic of the target object triggers a navigational constraint by verifying the identification of the target object based on the first output; and, if the navigational constraint is not verified based on the first output, then verifying the identification of the target object based on a combination of the first output and the second output. In response to the verification, the processing device may cause at least one navigational change to the host vehicle.

Abstract: A method and system for controlling an indoor autonomous robot. A method of controlling an indoor autonomous driving of a robot in a cloud system includes receiving, by the cloud system, first sensing data that is generated by a mapping robot autonomously driving in a target facility using a first sensor that detects the first sensing data with respect to an inside of the target facility; generating an indoor map of the target facility based on the first sensing data; receiving, from a service robot present in the target facility through a network, second sensing data that is generated by the service robot using a second sensor that detects the second sensing data with respect to the inside of the target facility; and controlling an indoor autonomous driving of the service robot with respect to the target facility based on the second sensing data and the generated indoor map.

Abstract: Systems and methods for human-machine interaction. An adaptive behavioral control system of a human-machine interaction system controls an interaction sub-system to perform a plurality of actions for a first action type in accordance with a computer-behavioral policy, each action being a different alternative action for the action type. The adaptive behavioral control system detects a human reaction of an interaction participant to the performance of each action of the first action type from data received from a human reaction detection sub-system. The adaptive behavioral control system stores information indicating each detected human reaction in association with information identifying the associated action. In a case where stored information indicating detected human reactions for the first action type satisfy an update condition, the adaptive behavioral control system updates the computer-behavioral policy for the first action type.

Abstract: Calibration of a hexapod structure includes measuring a head pose of the hexapod structure relative to a base of the hexapod structure. Calibration of the hexapod structure also includes for each strut, independently increasing a length of each strut by a predefined amount from an original length and repeating the measuring of the head pose relative to the base. Calibration of the hexapod structure further includes for each strut, independently decreasing a length of each strut by a predefined amount from the original length and repeating the measuring of the head pose relative to the base. Additionally, calibration of the hexapod structure includes moving each strut back to the original length, and estimating joint errors for each strut prior to calibrating of the hexapod structure.

Abstract: Disclosed herein are systems and methods for providing supplemental identification abilities to an autonomous vehicle system. The sensor unit of the vehicle may be configured to receive data indicating an environment of the vehicle, while the control system may be configured to operate the vehicle. The vehicle may also include a processing unit configured to analyze the data indicating the environment to determine at least one object having a detection confidence below a threshold. Based on the at least one object having a detection confidence below a threshold, the processor may communicate at least a subset of the data indicating the environment for further processing. The vehicle is also configured to receive an indication of an object confirmation of the subset of the data. Based on the object confirmation of the subset of the data, the processor may alter the control of the vehicle by the control system.

Abstract: A system and method for operating a robotic system to coordinate and integrate multiple tasks for performing operations is disclosed. The robotic system may identify a set of tasks associated with a triggered operation. Accordingly, the robotic system may coordinate and control actions across subsystems, robotic units, task stations, or a combination thereof to sequentially perform the set of tasks and complete the operation.

Abstract: A computer-assisted surgical system comprises a master grip input mechanism, a surgical instrument comprising an end effector configured to apply a gripping force, and a controller. The controller is configured to receive a first input signal in response to grip input at the master grip input mechanism. The controller is further configured to receive a second input signal after receiving the first input signal, wherein the second input signal is received in response to a procedure input at a master input device, with the procedure input being different from the grip input at the master grip input mechanism and further being indicative of a user's readiness to operate the surgical instrument to perform a first surgical procedure. The controller is further configured to, in response to receiving the first input signal and the second input signal, cause one or more degrees of freedom of the surgical instrument to be placed in a locked state.

Abstract: According to a first aspect of the invention, there is provided a method for operating a multicopter experiencing a failure during flight, the multicopter comprising a body, and at least four effectors attached to the body, each operable to produce both a torque and a thrust force which can cause the multicopter to fly when not experiencing said failure.

Abstract: A robot control system controlling a robot executing a personal service includes: a storage unit configured to store therein in advance trigger action information for which a task to be executed by the robot is formed by a series of actions and the actions and trigger conditions for respectively starting the actions are specified; a trigger determination unit configured to determine whether a trigger condition of the action is satisfied; an action execution unit configured to execute the action; and a task execution unit configured to sequentially select an action specified in the trigger action information of the task to be executed by the robot, cause the trigger determination unit to determine whether a trigger condition of the selected action is satisfied, and cause the action execution unit to execute the action when the trigger condition is satisfied.

Abstract: A mobile robot system and a related control method sets a virtual wall as a specific area so that a mobile robot cannot approach within a cleaning area to restrict a traveling of the mobile robot, registers the virtual wall on a map when the virtual wall for restrict the approach of the mobile robot is set by a terminal, calculates a location of the virtual wall for the cleaning area to avoid the virtual wall, and restricts the approach of the mobile robot by matching the virtual wall to the cleaning area, controlling the mobile robot as if an actual physical obstacle exists by setting the virtual wall on the map through the terminal and matching to an actual cleaning area, and achieving an easy cleaning setting and effectively controlling the mobile robot as it can be plurally set at a desired location irrespective of the number.

Abstract: A robot includes a robot control unit configured to control an operation of a robot, wherein the robot control unit is configured to set a coordinate system of the robot installed on a reference flat surface using measurement results of at least position coordinates in a vertical direction of three or more measurement points on the reference flat surface on which the robot is installed and measurement results of position coordinates of a plurality of reference reflection portions provided on a base portion of the robot.

Abstract: As an example, data identifying characteristics of a road user as well as contextual information about the vehicle's environment is received from the vehicle's perception system. A prediction of the intent of the object including an action of a predetermined list of actions to be initiated by the road user and a point in time for initiation of the action is generated using the data. A prediction of the behavior of the road user for a predetermined period of time into the future indicating that the road user is not going to initiate the action during the predetermined period of time is generated using the data. When the prediction of the behavior indicates that the road user is not going to initiate the action during the predetermined period of time, the vehicle is maneuvered according to the prediction of the intent prior to the vehicle passing the object.