Abstract: A vehicle driving support device issues an alert to notify a driver of a vehicle in advance that the vehicle is approaching a road having a large curvature. The vehicle driving support device includes a forward information providing device that provides forward information that is information forward of the vehicle, acquires, from the forward information, a curvature of a point that is a first distance forward from the vehicle and a curvature of a point that is a second distance forward from the vehicle, as a near point curvature and a distant point curvature, respectively, the second distance being longer than the first distance, and the curvatures being curvatures of a road on which the vehicle is traveling, and issues the alert when an alert condition is satisfied that the distant point curvature is larger than the near point curvature by a predetermined value or more.

Abstract: A vehicle travel control device calculates torques required for a motor in a first regenerative control mode and a second regenerative control mode based on an accelerator opening degree and a vehicle speed, selects torque required for the motor suitable for the first regenerative control mode or the second regenerative control mode from among the calculated torques required for the motor, and limits a change rate of the torque required for the motor when the selected torque required for the motor changes beyond a predetermined change rate by switching from the first regenerative control mode to the second regenerative control mode.

Abstract: A marine vessel fuel control system may comprise an interface to receive data identifying the vessel and data identifying a voyage to be undertaken by the vessel. The control system may also comprise a memory to store program code to implement a predictive model and parameter values for the model, the values resulting from an optimisation of the model using historical data for marine vessels and voyages. The control system may also comprise a processor arranged to execute the program code to: instantiate the model using the values; supply the data identifying the vessel and the data identifying the voyage to be undertaken to the model; and apply the model to determine a fuel consumption estimate for the vessel for the voyage. A fuel supply system determines an amount of fuel to be supplied to at least one fuel tank of the vessel based on the fuel consumption estimate.

Abstract: A robot vacuum cleaner and a controlling method thereof are provided. The robot vacuum cleaner includes a driver configured to move the robot vacuum cleaner; a memory storing information about a charging station of the robot vacuum cleaner; and a processor configured to: based on entering a return mode for returning to the charging station, control the driver to move the robot vacuum cleaner to the charging station based on the information about the charging station stored in the memory; perform a dust removal operation based on a distance between the robot vacuum cleaner and the charging station being less than or equal to a critical distance; and control the driver to move the robot vacuum cleaner such that the robot vacuum cleaner is in contact with the charging station after the dust removal operation.

Abstract: A robot service providing system includes a table monitoring terminal associated with one of a plurality of tables in a venue, a central control terminal, and a movable waiter robot. The central control terminal includes a communication interface, a display, an operation panel, and a controller. The controller is configured to control the display to display a screen including an image including a consumable item captured by a camera of the table monitoring terminal based on image data received by the communication interface, and control the communication interface to transmit a service instruction in response to a user operation on the operation panel. The movable waiter robot is configured to move to said one of the tables based on the service instruction.

Abstract: An attitude control system for a satellite is presented that can determine on time values for attitude control thrusters without use of attitude rate sensors, such as those based on gyros. The attitude control systems uses the attitude values from a star tracker to determine both attitude adjustment values and attitude adjustment rate values directly from the star tracker values, where the processing is performed using quaternions. From the attitude adjustment values and attitude adjustment rate values, a set of thruster on time values are determined.

Abstract: A vehicle control system is applied to a vehicle equipped with a magnetic sensor configured to detect a magnetic marker on a road. The vehicle control system executes a self-driving control by which self-driving of the vehicle is controlled. The vehicle control system executes a retreat traveling control using the magnetic marker in response to the occurrence of an abnormality in at least part of components and functions necessary for the self-driving control. The magnetic marker provides guidance information by which the vehicle is guided to a safe area. In the retreat traveling control using the magnetic marker, the vehicle control system acquires the guidance information from the magnetic marker detected by the magnetic sensor and causes the vehicle to travel toward the safe area and stop at the safe area based on the guidance information thus acquired.

Abstract: The present disclosure relates to a robot master control system. The robot master control system includes: a master controller, configured to control at least one dual-robot control system, where each of the least one dual-robot control system includes a first robot, a second robot, and a sub-controller controlling the first robot and the second robot, and the sub-controller is controlled by the master controller. In the present disclosure, multiple robots may be coordinated and comprehensively controlled to grab and move objects. Compared with a single robot, the efficiency of the multiple robots operation is greatly improved. In addition, each dual-robot control system may be individually configured, thereby improving the work efficiency of coordinated work of dual-robot control systems.

Abstract: A control method for controlling a momentum wheel device for stabilizing a spacecraft includes: providing the momentum wheel device as a real momentum wheel device having a momentum wheel driven by a motor; providing a simulated momentum wheel device based on an ideal physical model; concurrent feeding of a torque command to both momentum wheel devices, to change a rotational speed of both momentum wheel devices; controlling the motor to change the rotational speed dependent on the fed torque command; detecting a real rotation angle of the real momentum wheel device; calculating a simulated rotation angle of the simulated momentum wheel device by two-fold integration of the fed torque command; comparing the real rotation angle and the simulated rotation angle and generating an error signal corresponding to a deviation between the real and simulated rotation angles; and controlling the motor due to the error signal to reduce the deviation.

Abstract: A method and device for operating a Self-Driving Car (SDC) are disclosed. The device executes in real-time a first processing pipeline including generating static attributes for a plurality of potential positions of the SDC on the road segment, and caching the static attributes in association with the respective ones of the plurality of potential positions. The device executes in real-time a second processing pipeline in parallel with the first processing pipeline including generating a graph-structure for operating the SDC on the road segment. The generating the graph-structure includes generating dynamic attributes for a given edge of the graph-structure, acquiring from the cache memory static attributes for the given edge of the graph-structure, such that the given edge in the graph-structure is associated with the static attributes generated by the first processing pipeline and with the dynamic attributes generated by the second processing pipeline.

Abstract: Systems and methods of unsafe driving detection are provided which share partial unsafe driving behavior analyses with others in order to ensure that unsafe driving behavior is detected as early as possible. For example, in response to an event which interrupts a first detecting vehicle from collecting additional driving behavior data associated with a subject vehicle, the first detecting vehicle may transfer driving behavior data it has already collected and processed, to another detecting entity (e.g., a second detecting vehicle) in observable range of the subject vehicle.

Abstract: An autonomous driving control system, comprising a main control system and a backup control system. The main control system comprises a main control module and main execution modules, and the backup control system comprises a backup control module and backup execution modules; the main control module monitors an operating status of the main control system in real time; the main control module further sends, when detecting that a failure occurs in the main control system, a failure notification to the backup control module, and sends a response termination control instruction to each of the main execution modules, the response termination control instruction being a control instruction for instructing each of the main execution modules not to respond to any control over a vehicle; and the backup control module controls, after receiving the failure notification, the backup execution modules to start to execute a backup control instruction.

Abstract: A system for performing interactions within a physical environment including a robot base that undergoes movement relative to the environment, a robot arm mounted to the robot base, the robot arm including an end effector mounted thereon and a tracking system that measures a robot base position indicative of a position of the robot base relative to the environment. A control system acquires an indication of an end effector destination, determines a reference robot base position, calculates an end effector path extending to the end effector destination and repeatedly determines a current robot base position using signals from the tracking system, calculates a correction based on the current robot base position, the correction being indicative of a path modification, and controls the robot arm in accordance with the correction to move the end effector towards the end effector destination.

Abstract: Systems and methods for automated cooking are described. In one embodiment, an automated kitchen system includes a robotic device and a computing device having a memory storing instructions and a processor. The instructions cause the processor to identify a recipe associated with an order for at least one food item. The instructions cause the processor to identify an ingredient based on the set of instructions of the recipe. The instructions cause the processor to determine a measurement associated with the ingredient based on the set of instructions of the recipe. The instructions cause the processor to cause the robotic device to retrieve a measured portion of the ingredient based on the measurement and deliver the measured portion of the ingredient to cookware. The instructions cause the processor to cause the robotic device to execute a task in response to the measured portion of the ingredient being delivered to the cookware.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for evaluating robot learning. In some implementations, a system receives classification examples from a plurality of remote devices over a communication network. The classification examples can include (i) a data representation generated by a remote device based on sensor data captured by the remote device and (ii) a classification corresponding to the data representation. The system assigns quality scores to the classification examples based on a level of similarity of the data representations with other data representations. The system selects a subset of the classification examples based on the quality scores assigned to the classification examples. The system trains a machine learning model using the selected subset of the classification examples.

Abstract: A device includes a memory, a network interface, and a processor. The memory is configured to store an aircraft performance model. The aircraft performance model is based on historical flight data of one or more aircraft. The aircraft performance model includes a recurrent neural network layer. The network interface is configured to receive real-time time-series flight data from a data bus of a first aircraft. The processor is configured to receive, via the network interface, the real-time time-series flight data. The processor is also configured to generate, based on the real-time time-series flight data and the aircraft performance model, one or more aircraft performance parameters. The processor is further configured to provide the aircraft performance parameters to a display device.

Abstract: A method for controlling a robot is provided. The method includes the steps of: acquiring at least one of sound information and action information for a robot from a user in a serving place; determining identification information on the user on the basis of at least one of the sound information and the action information; and determining an operation to be performed by the robot on the basis of the identification information.

Abstract: A transport system includes transport vehicles, and a controller to control traveling of the transport vehicles. The track includes a first main track, junction points on the first main track and spaced apart from each other, and branch tracks each connected to the first main track via the junction points different from one another. The junction points are spaced apart from each other on the first main track. On each of the branch tracks, a stop position corresponding to a delivery port for each transport vehicle to deliver and receive a load is provided. The controller controls the respective transport vehicles stopping at the stop positions of the branch tracks to control a transport vehicle on a downstream branch track to start simultaneously with or before a transport vehicle on an upstream branch track.

Abstract: The present disclosure is intended to accurately simulate a flow of articles in an environment similar to an actual worksite. A conveyance simulation device includes: a virtual conveyance unit that operates virtually; a first virtual article feeding unit that feeds virtual articles to the virtual conveyance unit under a predetermined condition; and a virtual article management unit that sequentially updates positions of the virtual articles in accordance with a virtual movement of the virtual conveyance unit.

Abstract: A vehicle is provided herein, wherein the vehicle comprises a chassis and a cab mounted to the chassis. A trailer is pivotally connected to the chassis. A camera is arranged on a supporting arm mounted on the cab for providing a captured image of an area located rearward of the cab. A lighting assembly is mounted on the cab and includes at least one light source. The light source is configured to project a picture rearward of the cab forming a mark that is detectable by the camera, and that is representative of an angle between a trailer longitudinal axis and a chassis longitudinal axis. Further, a wind deflecting assembly comprising at least two side deflector panels and the lighting assembly is mounted on the side deflector panels.