Abstract: Techniques described herein relate to lane handling, for instance to enable vehicles to perform turns without colliding into oncoming vehicles and/or bicycles in other lanes. System(s) associated with a vehicle can access sensor data and/or map data associated with an environment within which the vehicle is positioned in a first lane. The system(s) can determine that the vehicle is to perform a turn and a start of a second lane associated with the turn or a merging zone associated with the second lane. The system(s) can determine a location of the vehicle relative to the start of the second lane or the merging zone associated with the second lane and, based partly on the location, can cause the vehicle to merge into the second lane prior to performing the turn.

Abstract: A method is provided for alerting a rotorcraft crew member of a potential collision of a rotor blade of the rotorcraft having a rotor shaft and a rotor azimuth. The method comprises estimating a total rotor flapping value associated with the rotor blade during an operating condition of the rotorcraft. The estimated total rotor flapping value is relative to the rotor shaft as a function of the rotor azimuth. The method also comprises comparing the estimated total rotor flapping value to a rotor flapping limit value during the operating condition of the rotorcraft. The method further comprises sending a warning signal to a warning device when the estimated total rotor flapping value lies outside of the rotor flapping limit value to alert the rotorcraft crew member of a potential collision of the rotor blade of the rotorcraft.

Abstract: According to one implementation, a rotorcraft includes rotors, a fuselage, at least three rods, at least one load sensor and a control device. The rotors obtain lift. The fuselage is coupled to the rotors. The at least three rods support the fuselage. The at least one load sensor detects loads applied on the at least three rods. The control device automatically controls the rotors so that measured values of the loads detected by the at least one load sensor are brought to targeted values of the loads.

Abstract: Systems and methods for providing driving recommendations are disclosed herein. One embodiment receives, at an ego vehicle, first vehicle data and first encoded information from one or more other vehicles; constructs, from the first vehicle data, graph data representing how the ego vehicle and the one or more other vehicles are spatially related; inputs the graph data, the first vehicle data, second vehicle data pertaining to the ego vehicle, and the first encoded information to a graph convolutional network that outputs second encoded information; inputs the second encoded information and previously stored encoded information to a recurrent neural network that outputs a set of parameters to a mixture model; predicts acceleration of the one or more other vehicles using the mixture model; and generates a driving recommendation for the ego vehicle based, at least in part, on the predicted acceleration of the one or more other vehicles.

Abstract: An angular transmission error identification system that identifies an angular transmission error of a speed reducer of a robot arm including a joint that is rotationally driven by a motor via the speed reducer, including an identification unit that calculates amplitude and phase parameters of an angular transmission error identification function, which is a periodic function that models an angular transmission error of the speed reducer and has the parameters, and identifies the error using the function, wherein the unit calculates an amplitude parameter corresponding to a gravitational torque current value which is a value acting on a joint when the error is identified using a first or second amplitude function according to a value of the gravitational torque current value, and calculates a phase parameter corresponding to the gravitational torque current value using a first or second phase function according to a value of the gravitational torque current value.

Abstract: A calibration apparatus of a robot that includes an arm, a joint attached to the arm, a motor provided to the joint, and a gear speed reducer provided between the motor and the joint includes setting circuitry that sets a destination position of the end of the arm in a predetermined three-dimensional space, acquiring circuitry that acquires an angle of the joint when the end of the arm is moved to the destination position, adjusting circuitry that adjusts the angle acquired by the acquiring circuitry in accordance with rotational angle transmission error in gears of the gear speed reducer, and correcting circuitry that corrects Denavit-Hartenberg (DH) parameters of the robot by using the angle adjusted by the adjusting circuitry.

Abstract: A vehicle and a method of calculating a load therefor for calculating a driving load based on a weather condition are provided. The method includes acquiring weather information regarding rain or snow and calculating a first driving load applied to an upper surface portion of the vehicle based on the weather information. A second driving load applied to a front surface portion of the vehicle is calculated based on the weather information and a third driving load that is a driving load due to weather is calculated by summing the first driving load and the second driving load.

Abstract: A multimodal sensing architecture utilizes an array of single sensor or multi-sensor groups (superpixels) to facilitate advanced object-manipulation and recognition tasks performed by mechanical end effectors in robotic systems. The single-sensors/superpixels are spatially arrayed over contact surfaces of the end effector fingers and include, e.g., pressure sensors and vibration sensors that facilitate the simultaneous detection of both static and dynamic events occurring on the end effector, and optionally include proximity sensors and/or temperature sensors. A readout circuit receives the sensor data from the superpixels and transmits the sensor data onto a shared sensor data bus.

Abstract: Systems and methods are provided for automatic intrinsic and extrinsic calibration for a robot optical sensor. An implementation includes an optical sensor; a robot arm; a calibration chart; one or more processors; and a memory storing instructions that cause the one or more processors to perform operations that includes: determining a set of poses for calibrating the first optical sensor; generating, based at least on the set of poses, pose data comprising three dimensional (3D) position and orientation data; moving, based at least on the pose data, the robot arm into a plurality of poses; at each pose of the plurality of poses, capturing a set of images of the calibration chart with the first optical sensor and recording a pose; calculating intrinsic calibration parameters, based at least on the set of captured images; and calculating extrinsic calibration parameters, based at least on the set of captured images.

Abstract: An example method of limiting an aircraft to a pitch axis envelope includes determining aircraft state limits associated with multiple pitch axis variables of an aircraft, determining predicted aircraft states, comparing the predicted aircraft states to the aircraft state limits to produce aircraft state errors, translating the aircraft state errors into a set of positive and negative limit elevator commands, selecting a highest priority positive limit elevator command, selecting a highest priority negative limit elevator command, limiting a primary pitch axis control law elevator command of the aircraft to a value that is less than or equal to the highest priority positive limit elevator command and greater than or equal to the highest priority negative limit elevator command, and controlling the aircraft according to the primary pitch axis control law elevator command limited to the value.

Abstract: High-performance road vehicle having: a plurality of replaceable or removable components; a control unit that supervises the operation of the road vehicle; at least one electronic identification device, which is fitted on a corresponding component, has a memory designed to contain at least one unique identifying code of the component and has a first transmission organ designed to send the data contained in the memory; and a second transmission organ designed to communicate with the first transmission organ and connected to the control unit to allow the control unit to interact with the electronic identification device.

Abstract: A mobile robot according to an embodiment of the present disclosure may include a traveling unit configured to move a main body; a memory configured to store trajectory information of a moving path corresponding to the movement of the main body; a communication unit configured to communicate with another mobile robot that emits a signal; and a controller configured to recognize the location of the another mobile robot based on the signal, and control the another mobile robot to follow a moving path corresponding to the stored trajectory information based on the recognized location. In addition, the controller may control the moving of the another mobile robot to remove at least part of the stored trajectory information, and allow the another mobile robot to follow a moving path corresponding to the remaining trajectory information in response to whether the moving path corresponding to next trajectory information to be followed by the another mobile robot satisfies a specified condition.

Abstract: The present disclosure provides a servo output shaft angle calibration method and a robot using the same. In the method, when a servo output shaft rotational angle calibration instruction is obtained, an output shaft of a servo is controlled to move in a preset rotational direction, a current angle of the output shaft of the servo is obtained when it detects that the output shaft of the servo has rotated to an end point and has a stalling, and then a preset end point angle is updated as the current angle of the output shaft of the servo, so as to take the current angle of the output shaft of the servo as the new end point angle, thereby realizing the calibration of the end point angle of the output shaft of the servo. In this manner, the entire calibration process requires no manual intervention.

Abstract: A master control device is communicatively coupled to a first slave control device and a second slave control device via a first network and a second network, respectively. The master control device provides output data to the first slave control device based on input data received from the second slave control device. A monitoring apparatus which monitors an operation of the master control device stores determination data indicating a correspondence relationship between the input data and the output data, obtains the input data provided to the second network by the second slave control device and the output data provided to the first slave control device via the first network, and determines a presence or an absence of an anomaly in the operation of the master control device by determining whether the input data and the output data correspond to the determination data.