Abstract: An example implementation involves receiving measurements from an inertial sensor coupled to the robot and detecting an occurrence of a foot of the legged robot making contact with a surface. The implementation also involves reducing a gain value of an amplifier from a nominal value to a reduced value upon detecting the occurrence. The amplifier receives the measurements from the inertial sensor and provides a modulated output based on the gain value. The implementation further involves increasing the gain value from the reduced value to the nominal value over a predetermined duration of time after detecting the occurrence. The gain value is increased according to a profile indicative of a manner in which to increase the gain value of the predetermined duration of time. The implementation also involves controlling at least one actuator of the legged robot based on the modulated output during the predetermined duration of time.

Abstract: A flight management system (FMS) including a plurality of FMS components that can include a civil FMS component and a tactical FMS component. Each FMS component can have a processor programmed to execute an FMS software product. The FMS can also include a multi core FMS manager configured to control a plurality of flight management systems and coupled to the plurality of FMS components. The multi core FMS manager can include a plurality of FMS managers, each coupled to one of the FMS components, and a platform interface manager coupled to an avionics system. Each FMS manager can be adapted to transmit flight management data to, and to receive flight management data from, the FMS component to which it is coupled. The platform interface manager can be adapted to provide each FMS component access to the avionics system, such that an aircraft operator can control each FMS component via the FMS.

Abstract: Methods for utilizing virtual boundaries with robotic devices are presented including: positioning a boundary component having a receiver pair to receive a first robotic device signal substantially simultaneously by each receiver of the receiver pair from a robotic device only when the robotic device is positioned along a virtual boundary; operating the robotic device to move automatically within an area co-located with the virtual boundary; transmitting the first robotic device signal by the robotic device; and receiving the first robotic device signal by the receiver pair thereby indicating that the robotic device is positioned along the virtual boundary.

Abstract: A method for determining an N+1-dimensional environmental model is provided. According to the method, environmental information in N dimensions is determined using a sensor. In a further step, position and/or orientation of the sensor is/are determined. Then, the N+1-dimensional environmental model is determined based on the determined environmental information in N dimensions and the determined position and/or orientation of the sensor. Further, a device and a mining apparatus are provided.

Abstract: A surgical system includes a detector, comprising an array of pixels configured to detect light reflected by a surgical instrument and generate a first signal comprising a first dataset representative of a visible image of the surgical instrument. The surgical system also includes a processor configured to receive the first signal, generate a modified image of the surgical instrument that includes a control panel. The control panel includes one or more control elements representative of one or more operating parameters of the surgical instrument. The processor is further configured to receive an input to the control panel from a user, the input being effective to change one of the operating parameters. The processor is also configured to generate a command signal based on the input to change the one of the operating parameters.

Abstract: A control device for a vehicle includes an electronic control unit. The electronic control unit, when switching a traveling mode of the vehicle, is configured to control an amount of torque change produced in a drive power source for traveling subjected to switching in operation upon switching of the traveling mode, such that the amount of torque change during manual driving is larger than that during autonomous driving.

Abstract: A method of controlling a robotic arm with human-computer interaction, and terminal and system for the same are provided. The method of controlling the robotic arm with human-computer interaction includes: virtualizing a robotic arm to provide a virtual robotic arm having at least two movable nodes on a screen, and designating a distal movable node of the at least two movable nodes as a target node; when the target node is triggered, responding to a drag-and-drop operation by a user and generating a moving path according to a path of the drag-and-drop operation on the target node; and generating a controlling signal for controlling a motion of the robotic arm based on the moving path, and controlling the robotic arm to move according to a motion of the virtual robotic arm based on control of the controlling signal.

Abstract: An in-vehicle terminal sends a speech input from a voice input unit as a voice signal to a relay server using a short-range wireless communication unit. The relay server converts the voice data received from the in-vehicle terminal into a string with a voice recognition unit, and makes an inquiry, via a communication unit, to an address database of a database server as to whether the string is a geographical condition. If the string converted by the voice recognition unit is a geographical condition based on the inquiry result of the communication unit, a POI data base is searched based on the geographical condition and a stored non-geographical condition, and the geographical condition is stored in a search history. If the string is a non-geographical condition, the POI database is searched based on the non-geographical condition and the geographical condition stored in the search history, and the non-geographical condition is stored in the search history.

Abstract: For operating a motor vehicle, a travel path of the motor vehicle across a roadway section of a roadway situated ahead of the motor vehicle and in the direction of travel of the motor vehicle is ascertained. The travel path is defined by an instantaneous running condition of the motor vehicle, a virtual local map that contains instantaneous local wind conditions, an instantaneous location of the motor vehicle on the virtual local map, and information relating to the instantaneous environment of the motor vehicle. The ascertained travel path is used for actuating at least one device of the motor vehicle that influences the instantaneous running condition of the motor vehicle.

Abstract: A method of initializing the layout of one or more robotic arms controllable by an input object, comprising: entering a paused mode, in which control of movement of the robotic arms by the input object is paused; measuring an input object initialization layout, defined by the layout of at least one segment of the input object; actuating at least a portion of the robotic arms to match the input object initialization layout; and entering a controlled mode, in which movements of the input object control the robotic arms.

Abstract: Disclosed is a medical robot system including medical robots placed at different locations and a data analysis apparatus. Each of the medical robots includes a controller that transmits data on a state of operation of the medical robot to the data analysis apparatus. The data analysis apparatus includes a data analysis unit that generates a reference for determining whether or not the medical robots are normal, based on the data transmitted from the medical robots. The data analysis unit monitors the data transmitted from each of the medical robots in operation based on the reference.

Abstract: A method proactively transitions performance of a functional operation from a primary subsystem to a secondary subsystem within a vehicle or other system having an electronic control unit (ECU). The method includes receiving health management information via the ECU when the primary subsystem is actively performing the functional operation within the system and the secondary subsystem operates in a standby mode, wherein the health information is indicative of a numeric state of health (SOH) of the primary subsystem. The method also includes comparing the numeric SOH to a calibrated non-zero threshold SOH, and then commanding, via the ECU, a transition of the performance of the functional operation to the secondary subsystem and placing the primary subsystem in the standby mode when the numeric SOH is less than the calibrated non-zero threshold SOH. A vehicle executes the method via the ECU.

Abstract: In some implementations, a method includes receiving, by one or more processing devices configured to control a traffic signal at an intersection of roads, camera data providing images of the intersection, the processing devices being located proximate to the intersection, using one or more local machine learning models to identify objects at the intersection and paths of the objects based on the camera data, providing traffic data generated from outputs of the one or more local machine learning models to a remote traffic planning system over a network, receiving, from the remote traffic planning system, a remote instruction for the traffic signal determined using one or more remote machine learning models, and providing a control instruction to the traffic signal at the intersection that is determined based on (i) the remote instruction from the remote traffic planning system, and (ii) a local instruction generated by the processing devices.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a road segment. A set of features associated with the road segment can be determined based at least in part on data captured by one or more sensors of a vehicle. A level of similarity between the road segment and each of a set of road segment types can be determined by comparing the set of features to features associated with each of the set of road segment types. The road segment can be classified as a road segment type based on the level of similarity. Scenario information associated with the road segment can be determined based on the classified road segment type.

Abstract: A robot system is provided that includes a base, an articulable arm, a visual acquisition unit, and at least one processor. The articulable arm extends from the base and is configured to be moved toward a target. The visual acquisition unit is mounted to the arm or the base, and acquires environmental information. The at least one processor is operably coupled to the arm and the visual acquisition unit, the at least one processor configured to: generate an environmental model using the environmental information; select, from a plurality of planning schemes, using the environmental model, at least one planning scheme to translate the arm toward the target; plan movement of the arm toward the target using the selected at least one planning scheme; and control movement of the arm toward the target using the at least one selected planning scheme.

Abstract: In some examples, a system is configured to determine a reliability index for weather information received by a weather system. The reliability index may indicate a degree of confidence of the accuracy of the weather information. For example, a system may determine a weather product for each of one or more voxels of a plurality of voxels in a three-dimensional or four-dimensional volumetric buffer, and based on a combination of the weather product and the weather information, determine a reliability index for the weather product. The system may display a first visual representation of the weather product and a second visual representation of the corresponding reliability index.

Abstract: Provided is an industrial-robot control device including a microphone attached to an industrial robot, a specific-sound detector that detects a specific sound from a sound picked up by the microphone, and a controller that allows the industrial robot to operate only during a period in which the specific sound is detected by the specific-sound detector.

Abstract: Methods for automated robotic movement for a robotic device using an electronic computing device are presented, the methods including: causing the electronic computing device to establish a working zone; measuring distances to all obstacles in the working zone thereby detecting all obstacles in the working zone; establishing a coverage path that accounts for all detected obstacles; executing the coverage path such the robotic device covers the working zone at least once; if a new obstacle is detected, establishing an adapted coverage path that accounts for the new obstacle; and executing the adapted coverage path. In some embodiments, methods further include: bypassing the new obstacle; and returning to the coverage path.

Abstract: A method includes receiving, from an aerial vehicle, information related to a plurality of radio-frequency signals detected by the aerial vehicle, and identifying access points that transmitted at least one of the plurality of radio-frequency signals based on at least the information. The method also includes determining a first geographical location of the aerial vehicle based on at least the information and locations associated with the access points and identifying a second geographical location, the second geographical location associated with at least one of an obstacle or a restricted zone. The method also includes controlling a navigation of the aerial vehicle based on at least the first geographical location and the second geographical location.

Abstract: The present application provides a localization system and method, and robot using the same. The localization system comprises: a storage device, configured to store the corresponding relationship between an image coordinate system and a physical space coordinate system; an image acquisition device, configured to capture image frames during movement of the robot; and a processing device, connected with the image acquisition device and the storage device, and configured to acquire positions of visual features in an image frame at the current time and positions of the corresponding visual features in an image frame at the previous time and to determine the position and pose of the robot according to the corresponding relationship and the positions. In the present application, the localization error of the robot can be effectively reduced.