Abstract: Disclosed herein are embodiments of a method for averting a danger. The method is performed by a control apparatus for an unmanned vehicle, and the method involves obtaining a plurality of pieces of sensor information. At least partially depending on the obtained pieces of sensor information it is determined whether a danger exists. If it is determined that a danger exists, then at least one averting measure for averting the danger is determined, and the at least one averting measure is performed or caused to be performed.

Abstract: A display control device that controls a display state of a virtual image to be overlapped on an overlapping target in front of a passenger of the vehicle includes: a display image generator that generates a guide display object image formed by a combination of a plurality of image elements overlapped and displayed along a travel route to notify a passenger of the travel route of the vehicle; and an abandonment determination unit that determines whether each of the image elements is disposed out of a displayable range of the virtual image. When one of the image elements is disposed out of the displayable range, the display image generator displays a part of the image elements as the guide display object image, which is disposed along the travel route just before the one of the image elements that is determined to be out of the displayable range.

Abstract: Various antilock braking systems, devices, and methods using sensorized brake pads are disclosed. In some embodiments, the present disclosure provides a method for improving the performance of an antilock braking (ABS) and anti-slip regulation (ASR) system of a vehicle. The method can include detecting the actual value of the coefficient of friction (e.g., between a tire and the ground), updating the coefficient of friction during braking using the braking torque data derived from at least one braking pad of each wheel, and adjusting brake force. For example, the brake force can be adjusted as a function of and/or to be approximately equal to the value of the actual tire-road friction during braking.

Abstract: A method for operating a robotic system includes determining a discretized object model based on source sensor data; comparing the discretized object model to a packing plan or to master data; determining a discretized platform model based on destination sensor data; determining height measures based on the destination sensor data; comparing the discretized platform model and/or the height measures to an expected platform model and/or expected height measures; and determining one or more errors by (i) determining at least one source matching error by identifying one or more disparities between (a) the discretized object model and (b) the packing plan or the master data or (ii) determining at least one destination matching error by identifying one or more disparities between (a) the discretized platform model or the height measures and (b) the expected platform model or the expected height measures, respectively.

Abstract: Systems and methods for utilizing interactive Gaussian processes for crowd navigation are provided. In one embodiment, a system for a crowd navigation of a host is provided. The system includes a processor, a statistical module, and a model module. The processor receives sensor data. The statistical module identifies a number of agents in a physical environment based on the sensor data. The statistical module further calculates a set of Gaussian processes. The set of Gaussian processes includes a Gaussian Process for each agent of the number of agents. The statistical module further determines an objective function based on an intent and a flexibility. The model module generates a model of the number of agents by applying the objective function to the set of Gaussian processes. The model includes a convex configuration of the number of agents in the physical environment.

Abstract: Methods and systems are provided for indicating a driving situation including at least one vehicle. The system includes a first processor, a second processor and an external device. A first processor obtains driving information, encodes the driving information and communicates the encoded driving information to the second processor. The second processor receives and decodes the encoded driving information. The second processor further allocates a predefined indication pattern to the decoded driving information, wherein the predefined indication pattern includes a graphical representation of an upcoming driving event involving the vehicle. An external device visualizes a current driving situation including the vehicle together with the predefined indication pattern.

Abstract: A system and method of operation of a robotic system including: receiving a sensor reading associated with a target object; generating a base plan for performing a task on the target object, wherein generating the base plan includes determining a grip point and one or more grip patterns associated with the grip point for gripping the target object based on a location of the grip point relative to a designated area, a task location, and another target object; implementing the base plan for performing the task by operating an actuation unit and one or more suction grippers according to a grip pattern rank, to generate an established grip on the target object, wherein the established grip is at a grip pattern location associated with the grip patterns; measuring the established grip; comparing the established grip to a force threshold; and re-gripping the target object based on the established grip falling below the force threshold.

Abstract: A system includes a computer including a processor and a memory, the memory storing instructions executable by the processor to generate a synthetic image by adjusting respective color values of one or more pixels of a reference image based on a specified meteorological optical range from a vehicle sensor to simulated fog, and input the synthetic image to a machine learning program to train the machine learning program to identify a meteorological optical range from the vehicle sensor to actual fog.

Abstract: The present disclosure provides a control method of a robotic system. The control method includes: deriving an approach location at which the end effector grips an operation object; deriving a scan location for scanning an identifier of the operation object; and based on the approach location and the scan location, creating or deriving a control sequence to instruct the robot to execute the control sequence. The control sequence includes (1) gripping the operation object from a start location; (2) scanning an identifier of the operation object with a scanner located between the start location and a task location; (3) temporarily releasing the operation object from the end effector and regripping the operation object by the end effector to be shifted, at a shift location, when a predetermined condition is satisfied; and (4) moving the operation object to the task location.

Abstract: Systems, methods and computer program products that facilitate displaying next action of an autonomous vehicle. A system can include a memory and a processor that executes computer executable components. The computer executable components can include: an analysis component that determines or infers next action of an autonomous vehicle and a display component that generates a graphical user interface that visually conveys the next action, wherein the graphical user interface comprises a shape that dynamically morphs to visually represent the next action.

Abstract: A driving assist system executes risk avoidance control for reducing a risk of collision with a target existing ahead of a vehicle. A vehicle state parameter includes imaginary relative position and velocity of the vehicle. A target state parameter includes expected direction and speed of movement the target. A risk value is expressed by a function of an estimated collision speed between the vehicle defined by the vehicle state parameter and the target defined by the target state parameter. The driving assist system sets multiple patterns of the target state parameter and sets a probability of each target state parameter. A partial risk value is the risk value when each target state parameter is used. A final risk value applied to the risk avoidance control is a sum of products of the probability and the partial risk value with respect to the multiple patterns of target state parameter.

Abstract: A system is described for determining an analogue geological feature. The system may include a processor and a non-transitory computer-readable medium comprising instructions that are executable by the processor to cause the processor to perform various operations. The system may generate, by extracting parameter signatures for geological features, a database including parameters about geological features associated with parameter signatures. The system may receive data including parameters and a feature-type about a geological feature of interest. The system may generate a signature including values for a subset of the feature-of-interest parameters selected based on the geological feature of interest for the feature-of-interest using the data. The system may execute a comparison of the feature signature to the parameter signatures included in the database for identifying an analogue geological feature for the feature of interest.

Abstract: A system for controlling an electromechanical actuator for setting a collective offset for a helicopter on a blade-specific basis, wherein the system comprises at least one actuator, the length and position of which can be adjusted electromechanically within a mechanically limited range, a power electronics that is configured to adjust the actuator by means of a servomotor in two directions, specifically toward a positive collective offset or toward a negative collective offset, and a first microelectronics system that is configured to control the power electronics such that positive and negative collective offsets can be set. The system also includes a second microelectronics system, which is configured to override the actuation of the first microelectronics system in order to act on the adjustment of the actuator, and by a first control line, which is configured to activate or deactivate the second microelectronics system through an external electrical signal.

Abstract: A method for operating an aircraft having multiple drive units including: a) providing a first flight control unit (CTRL-1), which activates the drive units according to a first control implementation when CTRL-1 is active; b) providing a second flight control unit (CTRL-2), which activates the drive units according to a second control implementation when CTRL-2 is active; c) continuously monitoring a function of the currently active flight control unit (CTRL-1); d) changing the active flight control unit from the currently active flight control unit (CTRL-1) to the newly active flight control unit (CTRL-2) in dependence on a result of the monitoring in step c); in which the change in step d) for the newly active flight control unit (CTRL-2) includes: d1) initializing starting values of a movement equation of the aircraft implemented in CTRL-2 using currently known state values (x) of the aircraft; d2) initializing integrators of CTRL-2 using control commands for the drive units from CTRL-1; d3) difference eq

Abstract: An unmanned aerial vehicle (“UAV”), the UAV including an electronic speed controller and a flight controller. The electric speed controller is interfaced with thrust motors of the UAV. The flight controller is configured to: determine a geographic location and a velocity of the UAV. The flight controller configured to: determine a distance between the geographic location of the UAV and a closest segment of a no-fly-zone. The flight controller in response to the distance being less than a threshold distance, control a speed and thrust applied by the thrust motors through the electric speed controller to reduce both the first component and the second component of the velocity of the UAV based on the distance. The flight controller configured to: override a user input received via a user interface so that the UAV is moved relative to the closest segment of a no-fly-zone according to instructions from the flight controller.

Abstract: An arm of a robot is configured to which an arm cover for covering a wire or a pipe placed outside of the arm is attachable. An input reception unit receives first input indicating attachment of the arm cover to the arm. A movable range determination unit determines a movable range of the robot to be a second movable range smaller than a first movable range without the attachment of the arm cover according to the first input. A robot control unit controls an operation of the robot according to the second movable range.

Abstract: A system of fall back flight control configured for use in electric aircraft includes an input control configured to receive a pilot input and generate a control datum. System includes a flight controller communicatively coupled to the input control and configured to receive the control datum and generate an output datum. The system includes the actuator having a primary mode in which the actuator is configured to move the at least a portion of the electric aircraft as a function of the output datum and a fall back mode in which the actuator is configured to move the at least a portion of the aircraft as a function of the control datum. The actuator configured to receive the control datum, receive the output datum, detect a loss of communication with the flight controller, and select the fall back mode as a function of the detection.

Abstract: A program generation device includes a display; at least one memory configured to store an operation symbol including information in relation to an operation command of a robot, and an auxiliary symbol including information in relation to a control command for adding an operation of the robot or for correcting the operation of the robot defined by at least one operation symbol; and at least one processor configured to obtain information in relation to setting of at least one of the operation symbol or the auxiliary symbol, and cause the display to display the operation symbol and the auxiliary symbol so as to align the operation symbol and the auxiliary symbol in order of operations of the robot based on the obtained information in relation to setting.

Abstract: A pool cleaning robot that may include a housing, a propulsion mechanism configured to propel the pool cleaning robot along an interior surface of a pool; brushes to clean surfaces of the pool during a cleaning cycle, a filtering system, a suction mechanism to draw liquid from the pool through an inlet into the housing and to discharge it from an outlet; and a detachable module that is detachably coupled to the housing, wherein at least one of the following is true—(a) the detachable module is a battery, (b) the detachable module comprises inductive electrical transfer connections, and (c) the detachable module comprises inductive data transfer connections.

Abstract: A method and a system for providing a rotorcraft with assistance in taking off from a slope. The rotorcraft includes at least one lift rotor provided with a plurality of blades, control devices for controlling the pitches of the blades, and landing gear provided with at least three ground contact members. The method comprises a step of measuring a piece of information relating to the forces to which each ground contact member is subjected during a landing phase for landing on the slope, a step of measuring at least one piece of information relating to the pitches of the blades during the landing phase, and a control step for controlling the pitches of the blades during the takeoff phase during which the rotorcraft takes off after the landing as a function of the measurements taken during the landing in order to enable a takeoff to be performed that is safe and simplified.