Abstract: A train control device including a control logic generation unit that uses an environmental model defined by the number of a plurality of closed sections constituting a track included in a predetermined control target region, a connection configuration of the closed sections, and the number of trains present on the track, a state of the environmental model being changed discretely according to a combination of a position of one control target train that is the train to be controlled, positions of zero or more other trains, and the presence or absence of reservation for each of the closed sections, and generates a control logic that is a logic for transitioning the state of the environmental model depending on the state of the environmental model so as to satisfy a predetermined condition, and a regeneration instruction unit that instructs the control logic generation unit to regenerate the control logic.

Abstract: A battery management system for electric vehicles includes electric vehicles each including a battery to supply electric power to a driving motor and an information processor to communicate with the electric vehicles. The electric vehicles each include a degradation state detector to detect a degradation state of the battery, and a usage state detector to detect a usage state of the battery. The information processor include a battery information storage to store information about the degradation state and the usage state of the battery, a degradation state estimator to estimate a future degradation state of the battery of a specific electric vehicle, based on the information stored in the battery information storage, and a vehicle control changer to change control of a certain electric vehicle to delay degradation of the battery if the future degradation state of the battery is estimated to deteriorate by a predetermined amount or greater.

Abstract: A method for controlling a UAV in an environment includes receiving first and second sensing signals from a vision sensor and a proximity sensor, respectively, coupled to the UAV. The first and second sensing signals include first and second depth information of the environment, respectively. The method further includes selecting the first and second sensing signals for generating first and second portions of an environmental map, respectively, based on a suitable criterion associated with distinct characteristics of various portions of the environment or distinct capabilities of the vision sensor and the proximity sensor, generating first and second sets of depth images for the first and second portions of the environmental map, respectively, based on the first and second sensing signals, respectively, combining the first and second sets of depth images to generate the environmental map; and effecting the UAV to navigate in the environment using the environmental map.

Abstract: The method can include: determining sensor information with an aircraft sensor suite; based on the sensor information, determining a flight command using a set of models; validating the flight command S130; and facilitating execution of a validated flight command. The method can optionally include generating a trained model. However, the method S100 can additionally or alternatively include any other suitable elements. The method can function to facilitate aircraft control based on autonomously generated flight commands. The method can additionally or alternatively function to achieve human-in-the-loop autonomous aircraft control, and/or can function to generate a trained neural network based on validation of autonomously generated aircraft flight commands.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for landing a vehicle. For instance, the method may include: before a descent transition point, receiving from a service a landing zone confirmation including landing zone location information and an indication that a landing zone is clear; determining a landing flight path based on the landing zone location information; and upon the vehicle starting a descent to the landing zone using the landing flight path: receiving landing zone data from at least one of a radar system, a camera system, an altitude and heading reference system (AHRS), and a GPS system; performing an analysis based on the landing zone data to determine whether an unsafe condition exists; and based on the analysis, computing flight controls for the vehicle to continue the descent or modify the descent.

Abstract: This application provides a method and an apparatus for updating a working map of a mobile robot, and a storage medium in the field of intelligent control technologies. The method includes: determining a plurality of detected environment maps based on object distribution information detected by the mobile robot in a moving process; merging the plurality of detected environment maps to obtain a merged environment map; and then performing weighting processing on the merged environment map and an environment layout map currently stored in the mobile robot, to obtain an updated environment layout map. The environment layout map stored in the mobile robot is updated by using the plurality of detected maps obtained by the mobile robot during working, so that the updated environment layout map can reflect a more detailed environment layout. This helps the mobile robot subsequently better execute a working task.

Abstract: A method provided for producing a model of the surroundings of a vehicle, wherein a lane is determined on the basis of objects, free space boundaries and/or roadway limitations. The lane indicates the zone around the vehicle in which the vehicle can drive freely. The lane includes at least one lane segment, the lane segment comprising at least one lane segment boundary, in particular a front lane segment boundary, a rear lane segment boundary, a left lane segment boundary and a right lane segment boundary. The distance from the vehicle to the lane segment boundary is determined, and the lane is made available to a driver assistance system.

Abstract: A remote vehicle control system includes a vehicle mounted sensor system including a video camera system for producing video data and a distance mapping sensor system for producing distance map data. A data handling system is used to compress and transmit both the video and distance map data over a cellular network using feed forward correction. A virtual control system acts to receive the video and distance map data, while providing a user with a live video stream supported by distance map data. Based on user actions, control instructions can be sent to the vehicle mounted sensor system and the remote vehicle over the cellular network.

Abstract: An electric motor-assisted bicycle includes a vehicle speed sensor to detect a vehicle speed, a torque sensor to detect a pedal force on a pedal connected to a crankshaft, a motor to generate an assist force that assists the pedal force, a motor controller to control the assist force by the motor depending on the pedal force and the vehicle speed, a threshold determiner to determine an unauthorized alteration determination threshold depending on the vehicle speed, and an unauthorized alteration detector to determine whether an unauthorized alteration has been made to the vehicle speed sensor or the torque sensor by comparing a running output and the unauthorized alteration determination threshold, wherein the running output is the sum of the assist force by the motor and the pedal force. If an unauthorized alteration has been made, a predetermined control is performed to address the unauthorized alteration.

Abstract: Methods and systems are provided for guiding or otherwise assisting energy management of an aircraft radar vectoring en route to a runway. A method involves dynamically determining an updated predicted lateral trajectory for the radar vectoring when the current aircraft status fails to satisfy a trajectory execution criterion for a previously-predicted lateral trajectory by iteratively adjusting a runway interception point defining a segment aligned with the runway until arriving at the updated predicted lateral trajectory for which a stabilization criterion for the runway can be satisfied. The method determines a target value for an energy state parameter of the aircraft at a current location on the updated predicted lateral trajectory and provides indication of a recommended action to reduce a difference between a current value for the energy state parameter and the target value.

Abstract: Systems, methods, and other embodiments described herein relate to improving crash prediction through correlating an observed response and a predicted response of a vehicle. In one embodiment, a method includes generating the predicted response for the vehicle as a function of a response model and according to current vehicle inputs that are control inputs associated with steering, braking, and accelerating the vehicle. The response model is a learning model that predicts behaviors of the vehicle. The method includes computing a residual indicating an extent of correlation between the predicted response and the observed response. The method includes, in response to determining the residual satisfies a crash threshold that indicates an anomaly between the predicted response and the observed response, providing an alert indicating the vehicle has likely crashed.

Abstract: The present invention is directed to a compact robotic device for spraying a biocide powder or liquid to a predetermined area for controlling the infestation by cockroaches and fleas. The compact robotic device comprises a robotic body that can autonomously travel to spray the powder or liquid. The compact robotic device comprises a cartridge containing the biocide powder, a spray head in fluid communication with the cartridge and configured to spray the powder or liquid over a surface and a pump coupled to the cartridge for affecting the flow of powder or liquid from the cartridge to the spray head.

Abstract: A parsing system includes an imaging device and one or more processors. The imaging device may capture visual instructions displayed on a monitor. The one or more processors may be configured to receive, from the imaging device, the captured visual instructions, generate functions for a robot to perform based on the captured visual instructions, and transmit, to a robot, the functions to perform.

Abstract: A robot system that includes a remote station and a robot face. The robot face includes a camera that is coupled to a monitor of the remote station and a monitor that is coupled to a camera of the remote station. The robot face and remote station also have speakers and microphones that are coupled together. The robot face may be coupled to a boom. The boom can extend from the ceiling of a medical facility. Alternatively, the robot face may be attached to a medical table with an attachment mechanism. The robot face and remote station allows medical personnel to provide medical consultation through the system.

Abstract: A method for automatically processing a structure-reinforcing member of an aircraft, including: (S1) acquiring, by a handheld laser scanner, data of an area to be reinforced of the aircraft; (S2) controlling a robotic arm to automatically grab the reinforcing member for automatic scanning; (S3) setting a cutting path in a computer aided design (CAD) digital model followed by registration with real data to obtain an actual cutting path, and cutting the reinforcing member; (S4) controlling the robotic arm to guide a cut reinforcing member to a scanning area for automatic scanning; and (S5) subjecting point cloud data of the cut reinforcing member and the area to be reinforced to virtual assembly and calculating a machining allowance to determine whether an accuracy requirement is met; if yes, ending a task; otherwise, grinding the reinforcing member automatically, and repeating steps (S4)-(S5).

Abstract: Methods and software for setting parameters for operating a modular robot are disclosed. One method includes receiving, by a server, communications data from a controller of the modular robot. The modular robot has storage for storing program instructions for executing autonomous movement at a location. The method includes sending, by the server, an initial outline for the controller to generate calibrated mapping data for the location. The calibrated mapping data identifies an outline at the location. The method includes sending, by the server, identification of at least two zones at the location, where the at least two zones define different areas at the location. The controller of the modular robot is configured to use the calibrated mapping data for said autonomous movement at the location and the controller is configured to operate a respective work function in each of the at least two zones.

Abstract: A robot includes an input detection portion, a motion detection portion, and a control portion. The input detection portion is configured to detect an input given from an operator to a robot body. The motion detection portion is configured to detect a motion by using the input detection portion, the motion being given by the operator. The control portion is configured to execute a motion instruction associated with the motion detected by the motion detection portion.

Abstract: There is disclosed a system and method for forecasting the positions of marine vessels. In an aspect, the present system is adapted to execute a forecasting algorithm to forecast the positions of one or a great many marine vessel(s) based on one or more position reporting systems including coastal and satellite AIS (S-AIS) signals or LRIT received from the vessel. The forecasting algorithm utilizes location and direction information for the vessel, and estimates one or more possible positions based on previous paths taken by vessels from that location, and heading in substantially the same direction. Thus, a body of water can be divided into “bins” of location and direction information, and a spatial index can be built based on the previous paths taken by other vessels after passing through that bin. Other types of information may also be taken into account, such as ship-specific data, nearby weather, ocean currents, the time of year, and other spatial variables specific to that bin.

Abstract: The disclosure relates to a moving apparatus for cleaning, a collaborative cleaning system, and a method of controlling the same, the moving apparatus for cleaning including: a cleaner configured to perform cleaning; a traveler configured to move the moving apparatus; a communicator configured to communicate with an external apparatus; and a processor configured to identify an individual cleaning region corresponding to the moving apparatus among a plurality of individual cleaning regions assigned to the moving apparatus and at least one different moving apparatus based on current locations throughout a whole cleaning region, based on information received through the communicator, and control the traveler and the cleaner to travel and clean the identified individual cleaning region. Thus, the individual cleaning regions are assigned based on the location information about the plurality of cleaning robots, and a collaborative clean is efficiently carried out with a total shortened cleaning time.

Abstract: A mobile robot of the present disclosure includes: a traveling unit configured to move a main body; a cleaning unit configured to perform a cleaning function; a sensing unit configured to sense a surrounding environment; an image acquiring unit configured to acquire an image outside the main body; and a controller configured to generate a distance map indicating distance information from an obstacle for a cleaning area based on information detected and the image through the sensing unit and the image acquiring unit, divide the cleaning area into a plurality of detailed areas according to the distance information of the distance map and control to perform cleaning independently for each of the detailed areas. Therefore, the area division is optimized for the mobile robot traveling in a straight line by dividing the area in a map showing a cleaning area.