Abstract: A system, method, and computer-readable medium for calibrating performance parameters of an aircraft during a phantom fuel procedure, including determining an independent fuel weight parameter during operation of the aircraft value based on output of fuel level sensors of a fuel quantity subsystem coupled to the aircraft flight control system, receiving a zero fuel weight parameter, receiving a fuel weight parameter corresponding to a weight of fuel onboard the aircraft and a phantom fuel value, determining a gross weight parameter based on the zero fuel weight, determining a fuel consumption parameter value of the aircraft based on output of fuel flow sensors coupled to the aircraft flight control system, updating the gross weight parameter during operation of the aircraft based on the fuel weight parameter and the fuel consumption parameter value, and determining performance parameter for the aircraft during operation of the aircraft based on the gross weight parameter.

Abstract: A method of controlling an actuator having a maximum velocity and a maximum acceleration includes accessing a reference trajectory signal comprising temporally-spaced reference positions for the actuator and accessing a trajectory template having at least a third derivative continuity and at least one characteristic constrained by the maximum velocity and the maximum acceleration. The method includes generating a smooth reference trajectory signal based on the reference trajectory signal and the trajectory template and outputting the smooth reference trajectory signal. Controls for the actuator can be generated based on the smooth reference trajectory signal.

Abstract: Systems and methods for robotic teleoperation are provided. The system receives motion input and gaze data of a human operator performing a robotic teleoperation task, and a plurality of features are extracted from the received data. A recurrent neural network determines latent actions from the extracted features and generates temporally associated action inferences. A model determines inferred intention from a sequenced pair of action inferences, an intention hierarchy, and a probabilistic uncertainty function. A teleoperated robotic element performs a task associated with the inferred intention without a corresponding control signal from the human operator. The recurrent neural network is trained using extracted features and contrastive learning. The intention hierarchy is generated from action inferences. The probabilistic uncertainty function is generated using Bayesian hierarchical modeling. The system and method improves robotic teleoperation by estimating the intention of the human operator.

Abstract: A control device according to one aspect of the present disclosure identifies a first person, acquires information on a second person related to the first person, and reads out an action information using the information on the second person, the action information representing an action of the second person for the first person.

Abstract: A system for controlling a vehicle entering a roundabout includes a sensor unit configured to recognize a traffic island provided in the roundabout. The system also includes an autonomous driving controller configured to set defense zones based on the traffic island and a speed of the vehicle. The defense zones may indicate danger zones that one or both of i) cause collision between the vehicle and the traffic island or ii) deteriorate stability of the vehicle based on the traffic island and a speed of the vehicle. The system may additionally include a braking controller configured to perform braking of the vehicle entering the defense zones.

Abstract: The invention is to obtain a control device and a control method capable of assisting group driving of a motorcycle. A control device of a rider assistance system includes a vehicle speed control execution section executing a vehicle speed control operation of an own-vehicle (100), on the basis of positional relationship information between the own-vehicle (100) and at least one preceding vehicle (300) that is acquired while the own-vehicle (100) is driving, and an alignment operation execution section executing an alignment operation of aligning at least a part of an array that is formed by at least three motorcycles (200), in the vehicle speed control operation in a state in which a group driving mode that is a mode in which the at least three motorcycles (200) including the own-vehicle (100) perform group driving is valid.

Abstract: The present disclosure relates to determining a following distance, between a vehicle and a vehicle travelling ahead. According to a first aspect, the disclosure relates to a method that comprises obtaining an amount of energy required to propel the vehicle along the upcoming road as a function of following distance to the vehicle travelling ahead and predicting, based on brake actuation performed by the vehicle during a previous time period, one or more driving disadvantages that will be caused by braking along an upcoming road as a function of the following distance. The method further comprises determining the following distance, based on the obtained amount and on the predicted driving disadvantages caused by braking along the upcoming road. The disclosure also relates to a corresponding control arrangement and computer program, and to a vehicle comprising the control arrangement.

Abstract: A flux sensing system includes a memory and a processor in communication with the memory and at least one sensing device, the memory storing a plurality of published semantic fluxes associated with a plurality of location-based endpoints and/or item container devices. The flux sensing system is configured to apply semantic analysis to the sensing device inputs and semantic fluxes publishing and further control the publishing between semantic fluxes.

Abstract: A library presenting device, a library presenting method, and a robot control system for presenting a library suitable for a target object. The library presenting device (10) includes an input information acquisition unit (131) that acquires input information including the target object; a result acquisition unit (132) capable of acquiring a result of applying a defined task with respect to the target object, using libraries capable of executing tasks with respect to the target object; an evaluation acquisition unit (133) that acquires an evaluation of the result of applying the defined task; and a presentation content determination unit (134) that determines, based on the evaluation of the result of applying the defined task using a first library among the libraries, output of a result of applying the defined task using a second library among the libraries that is different from the first library.

Abstract: A flux sensing system includes a processor, a memory, and a sensor. The memory stores at least one semantic profile having a first preference setting, a second preference setting, and a third preference setting in which the first preference setting is associated with a first object, the second preference setting is associated with a second object and the third preference setting is associated with a semantic group including the first object and the second object. The processor infers a semantic associated with a third object, the inferred semantic being based on one or more inputs from the sensor. The processor further detects the presence of the first object and the second object based on inputs from the sensor, and applies or does not apply preference settings based on detected object presence and inferences of the semantic group.

Abstract: Various embodiments of the present disclosure relate to a vehicle for avoiding collisions and a method of operating the vehicle. In an embodiment, a vehicle for avoiding a collision can include a plurality of sensors configured to obtain surrounding environment information and a processor operatively connected to the plurality of sensors. The processor can determine whether a line of a driving lane is at least partially detected based on line detection information included in the surrounding environment information, determine a maximum lateral movement distance for in-lane collision avoidance based on a position of the line when the line is at least partially detected, and determine the maximum lateral movement distance for in-lane collision avoidance based on a preset value when the line is not detected.

Abstract: A first motor control measure sends a first command to a second motor control measure in order to conduct drive control of a motor when conducting steering assist control, and assists drive of the motor by conducting drive control of the motor based on a second command sent from the second motor control measure to conduct drive control of the motor when conducting the steering assist control, and the second motor control measure sends the second command to the first motor control measure when conducting autonomous drive assist control, and assists drive of the motor by conducting drive control of the motor based on the first command to conduct the steering assist control.

Abstract: A manipulation method learning apparatus includes: a storage portion that stores an environment model including a device capable of manipulating a target object; a contact state of the device and the target object acquired by using the environment model as an input and calculates an internal reward from a frequency of occurrence of the contact state; an external reward calculation portion that uses a state quantity of the device acquired by using the environment model, a state quantity of the target object acquired by using the environment model, and a contact state quantity as an input, searches a manipulation strategy of the target object, and calculates an external reward for a target task solution; and a search portion that searches while probabilistically selecting a first strategy updated by using the internal reward and a second strategy updated by using the external reward.

Abstract: A semantic robotic device system stores a semantic goal and semantic profiles having semantic artifacts. A processor is configured to infer further semantic artifacts in rapport with semantic goals based on an application of semantic artifacts from a semantic profile and an affirmative semantic resonance in rapport with semantic artifacts. The processor is configured to generate thin client presentation data as a representation of semantic artifacts in association with first and second identities, and causes at least one transceiver to transmit the thin client presentation data to a remote device.

Abstract: A method for a replay driver skill improvement system is described. The method includes logging vehicle commands requested by a vehicle operator of an ego vehicle to perform a selected driving maneuver. The method also includes identifying one or more of the logged vehicle commands in which operation of the ego vehicle is outside of a predetermined threshold while performing the selected driving maneuver. The method further includes operating the ego vehicle according to the logged vehicle commands until the one or more of the logged vehicle commands in which operation of the ego vehicle is outside of the predetermined threshold are reached. The method also includes performing, through shared control with the vehicle operator, improved vehicle commands to complete the selected driving maneuver while operating the ego vehicle at or within the predetermined threshold.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for robot planning. One of the methods includes maintaining a library of pre-generated candidate actions that represent respective robot capabilities; receiving an initial task plan for performing a particular task, wherein the initial task plan includes a sequence of two or more actions that comprises a first action followed by a second action; processing the initial task plan to determine that the first effect of the first action does not result in satisfaction of the second precondition of the second action; selecting one or more selected pre-generated candidate actions from the library of pre-generated candidate actions; and modifying the initial task plan to include the one or more selected pre-generated candidate actions as the intermediate actions to generate a final task plan to be executed by the one or more particular robots when performing the particular task.

Abstract: An intervention operation determination apparatus includes: a steering unit operated by a driver; a steering wheel to be turned in conjunction with the operation of the steering unit; and a detection unit that detects an operation amount of the steering unit when a steering force that turns the steering wheel is generated. The intervention operation determination apparatus determines that the driver has operated the steering unit during autonomous driving in which traveling by controlling an actuator without an operation of the steering unit by the driver is performed. The intervention operation determination apparatus further includes a controller that controls the actuator. The controller determines that there has been an intervention operation in which the driver operates the steering unit based on a deviation between a target steering angle in the autonomous driving and an actual steering angle based on an operation amount detected by the detection unit.

Abstract: A computer-implemented method when executed by data processing hardware causes the data processing hardware to perform operations. The operations include detecting a park mode of a vehicle equipped with an automatic protected idle function and activating the automatic protected idle function automatically in response to the detected park mode. A state of a control switch associated with the automatic protected idle function is determined, and a hold time is set in response to a respective determined state of the control switch. The operations also include modifying the automatic protected idle function for one or more ignition cycles in response to the set hold time.

Abstract: A test and measurement instrument connects to one or more devices under test (DUT) having tuning screws, and to a robot, and has one or more processors to: command the robot to position the tuning screws on the DUTs to one or more sets of positions, each set of positions being a parameter set for the tuning screws, acquire a set of operating parameters for each parameter set from the DUTs, generate a parameter set image for each set, create a combined image of the parameter set images, provide the combined image to a machine learning system to obtain a predicted set of values, adjust the predicted set of values to produce a set of predicted positions, command the robot to position the tuning screws to positions in the set of predicted positions, obtain a set of tuned operating parameters from the DUTs, and validate operation of the DUTs.

Abstract: The invention provides a tape material applicator and computer program capable of applying relatively short tape materials and reducing the difficulty in tape application. The tape material applicator unit (60), mounted on the sixth axis of a robot, includes a disc-shaped member (50) and a roller swing mechanism (80). The tape material clamping device (200), attached to the disc-shaped member (50), clamps one end (304) of the tape material (300), while the guide (100) attached to the roller swing mechanism (80), holds the other end (305) of the tape material (300). The roller (90) presses the tape material (300) onto the workpiece (40). The tape material (300) is applied from one end (304) to the other end (305) along the application path by pressing with the roller (90), while maintaining the unattached part of the tape material (300) elevated from the workpiece (40).