Abstract: A robot controlling method includes following operations. A depth image is obtained by the depth camera. A processing circuit receives the depth image and obtains an obstacle parameter of an obstacle and a tool parameter of a tool according to the depth image. The tool is set on the end of a robot. The processing circuit obtains a distance vector between the end and the obstacle parameter. The processing circuit obtains a first endpoint vector and a second endpoint vector between the tool parameter and the obstacle parameter. The processing circuit establishes a virtual torque according to the distance vector, the first endpoint vector, and the second endpoint vector. The processing circuit outputs control signal to the robot according to the tool parameter, the obstacle parameter and the virtual torque to drive the robot to move or rotate the tool to a target.

Abstract: A service management device manages a service delivered in a predetermined area. The service management device has an operator interface including a display that displays information for an operator and receiving an input from the operator. The service management device communicates with an autonomous robot used for delivering the service in the predetermined area to acquire, from the autonomous robot, service robot information indicating at least a position and a status of the autonomous robot. The service management device displays a map of the predetermined area and the position of the autonomous robot on the display, based on the service robot information. When the autonomous robot displayed on the display is specified by the operator through the operator interface, the service management device displays a status window indicating the status of the autonomous robot specified by the operator on the display, based on the service robot information.

Abstract: An approach is provided for identifying special areas with significant vehicle activities that do not represent established roads (e.g., construction areas). The approach involves, for example, retrieving probe data collected from sensors of probe devices traveling within a geographic area including geographic partitions. The approach also involves dividing each of the geographic partitions into grid cells. The approach further involves, for each grid cell, detecting directional groupings of the probe data that share a respective common direction of travel. The approach further involves detecting a set of grid cells with a count of the directional groupings that is above a count threshold. The approach further involves designating an area associated with the set of grid cells as an unconstrained area or a sub-area of the unconstrained area. The approach further involves providing the unconstrained area and/or the sub-area as a mapping data output.

Abstract: Provided is a robot including a media storing instructions that when executed by the processor of the robot effectuates operations including: obtaining sensor data indicative of operational hazards within a work environment; generating a map of the work environment based on data obtained from at least some sensors of the robot; identifying at least one room in the map; determining an object type of an operational hazard based on extracted features of the operational hazard and a database of various object types and their features; updating the map to include the object type of the operational hazard at a location in which the operational hazard was encountered by the robot; generating a coverage plan for areas of the work environment; and executing the coverage plan by the robot.

Abstract: The vehicle movement control apparatus of the disclosure sets an update movement route as a target movement route when an update condition is satisfied. The apparatus acquires a turning characteristic, an acceleration characteristic, and a deceleration characteristic of a vehicle while executing an automatic movement control to cause the vehicle to move along the update movement route. The apparatus updates vehicle behavior characteristic data so as to represent actual vehicle behavior characteristics, based on the acquired turning characteristics, the acquired acceleration characteristic, and the acquired deceleration characteristic.

Abstract: An integrated control apparatus for an autonomous vehicle includes: a movable control device corresponding to a portable device that performs steering, gear-shifting, acceleration, and braking of a vehicle by a user's control when a driving mode is shifted from an autonomous driving mode to a manual driving mode; and a fixed display device controlled in a touch manner to perform other functions other than steering, gear-shifting, acceleration, and braking, wherein a steering dial switch, a gear-shifting slide switch, an acceleration rotary switch, and a brake button switch are disposed in the movable control device and are manipulated differently.

Abstract: A method for the performance-enhancing driver assistance of a road vehicle. The method comprises the steps of defining a dynamic model of the road vehicle, determining the actual position and orientation of the road vehicle, detecting a plurality of environmental data, detecting a plurality of dynamic data, determining a passing through point of the road vehicle arranged in front of the road vehicle, solving an optimum control problem aimed at optimizing a cost function), taking into account, as boundary conditions, the plurality of environmental data, the actual position and the passing through point, so as to compute a mission optimizing the cost function from the actual position of the vehicle to the passing through point of the vehicle.

Abstract: The present disclosure provides a method, a device, and a system for parking a truck. The method includes a main controller acquiring real-time point cloud data by scanning a lane crossed by a shore crane using a laser radar; the main controller clustering the real-time point cloud data to obtain a set of point clouds for the truck moving in the lane; and the main controller obtaining a real-time distance from the moving truck to a target parking space based on the set of point clouds and a vehicle point cloud model; the main controller broadcasting a message containing the real-time distance, such that a vehicle controller controls the moving truck to stop at the target parking space based on the real-time distance contained in the message.

Abstract: A traveling trajectory estimation system obtains traveling record information indicating a past traveling record of a vehicle, and characteristic object position information indicating the installation position of a characteristic object, and performs a vehicle position estimation process to estimate an object vehicle position at an object time, based on the traveling record information and the characteristic object position information. In the vehicle position estimation process, not only a time previous to the object time, but also a time subsequent to the object time, is used as a reference time. The traveling trajectory estimation system sets each of a plurality of successive times as the object time, and performs the vehicle position estimation process, to estimate the object vehicle positions at the respective times, and determines a collection of the estimated object vehicle positions as a traveling trajectory of the vehicle.

Abstract: Systems, methods, and computer-readable media are disclosed for controlling one or more vehicles with the use of navigation markers positioned or integrated into a ground surface. A vehicle, such as an autonomous vehicle, may include a light detection assembly, which may include a light emitter, an optical filter, an optical sensor, and an analog-to-digital converter, and optionally may include a lens. The light emitter may emit light towards the ground surface which may illuminate the navigation marker and cause the navigation marker to emit light passes through the optical filter and is ultimately sensed by the optical sensor. The vehicle may determine the light was emitted by the navigation marker and cause the vehicle to perform the predetermined action.

Abstract: ETA (estimated time of arrival) calculation for a mobile machine is disclosed. The ETA of the mobile machine to a destination is calculated by obtaining a current pose of the mobile machine, obtaining a global path from the current pose of the mobile machine to the destination, obtaining a local path, calculating a dynamic ETA for each pair of the consecutive poses in the local path and summing the calculated dynamic ETAs, calculating a baseline ETA for each pair of consecutive poses from a pose in the global path that is closest to the last pose in the local path to the last pose in the global path and summing the calculated baseline ETAs, and obtaining a total ETA to the destination based on the dynamic ETA and the baseline ETA.

Abstract: A mobile robot 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: Systems and methods for autonomous lane level navigation are disclosed. In one aspect, a control system for an autonomous vehicle includes a processor and a computer-readable memory configured to cause the processor to receive a partial high-definition (HD) map that defines a plurality of lane segments that together represent one or more lanes of a roadway, the partial HD map including at least a current lane segment. The processor is also configured to generate auxiliary global information for each of the lane segments in the partial HD map. The processor is further configured to generate a subgraph including a plurality of possible routes between the current lane segment and the destination lane segment using the partial HD map and the auxiliary global information, select one of the possible routes for navigation based on the auxiliary global information, and generate lane level navigation information based on the selected route.

Abstract: A trajectory setting device that sets a trajectory of a host vehicle includes a first path generation unit configured to generate a first path by assuming all obstacles around the host vehicle to be stationary obstacles, a second path generation unit configured to generate a second path when the moving obstacle is assumed to move independently, a third path generation unit configured to generate a third path when the moving obstacle is assumed to move while interacting with at least one of the other obstacles or the host vehicle, a reliability calculation unit configured to calculate reliability of the second path and reliability of the third path, and a trajectory setting unit configured to set the trajectory for traveling from the first path, the second path, and the third path based on the reliability of the second path and the reliability of the third path.

Abstract: Systems and methods for navigating intersections autonomously or semi-autonomously can include, but are not limited to including, accessing data related to the geography and traffic management features of the intersection, executing autonomous actions to navigate the intersection, and coordinating with one or more processors and/or operators executing remote actions, if necessary. Traffic management features can be identified by using various types of images such as oblique images.

Abstract: A vehicular control system includes a forward-viewing camera, a forward-sensing sensor and an in-cabin-sensing sensor. With the system controlling driving of the vehicle, the system determines a triggering event that triggers handing over driving of the vehicle to a driver of the vehicle before the vehicle encounters an event point associated with the triggering event. The vehicular control system (i) determines a total action time available before the vehicle encounters the event point, (ii) estimates a driver takeover time for the driver to take over control of the vehicle and (iii) estimates a handling time for the driver to control the vehicle to avoid encountering the event point. Responsive to the vehicular control system determining that the estimated driver takeover time is less than the difference between the determined total action time and the estimated handling time, control of the vehicle is handed over to the driver of the vehicle.

Abstract: An autonomous vehicle having sensors advantageously varied in capabilities, advantageously positioned, and advantageously impervious to environmental conditions. A system executing on the autonomous vehicle that can receive a map including, for example, substantially discontinuous surface features along with data from the sensors, create an occupancy grid based upon the map and the data, and change the configuration of the autonomous vehicle based upon the type of surface on which the autonomous vehicle navigates. The device can safely navigate surfaces and surface features, including traversing discontinuous surfaces and other obstacles.

Abstract: An automatically moving floor treatment appliance has an appliance housing, a drive, a computing element and a plurality of fall sensors. The computing element compares a detection result of a fall sensor with a known reference result, and when the detection result does not correspond with the reference result, determines a malfunctioning of the fall sensor. The computing element determines distances detected chronologically successively by the same fall sensor during a movement of the appliance with one another, and when the distances are identical, determines a malfunctioning of the fall sensor, and/or compares a detection result of the leading fall sensor with a detection result of a trailing fall sensor and when the trailing fall sensor detects a slope without the leading fall sensor having detected the slope before, determines a malfunctioning of the leading fall sensor and the trailing fall sensor takes over the from the leading fall sensor.

Abstract: Provided is a mobile robotic device, including at least: a plurality of sensors; a processor; and a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations comprising: selecting, by the processor, one or more actions to navigate through a workspace, wherein each action transitions the mobile robotic device from a current state to a next state; actuating, by the processor, the mobile robotic device to execute the selected one or more actions; detecting, by the processor, whether a collision is incurred by the mobile robotic device for each action executed; and, assigning, by the processor, each collision to a location within a map of the workspace wherein the location corresponds to where the respective collision occurred.

Abstract: The present invention provides specific systems, methods and algorithms based on artificial intelligence expert system technology for determination of preferred routes of travel for electric vehicles (EVs). The systems, methods and algorithms provide such route guidance for battery-operated EVs in-route to a desired destination, but lacking sufficient battery energy to reach the destination from the current location of the EV. The systems and methods of the present invention disclose use of one or more specifically programmed computer machines with artificial intelligence expert system battery energy management and navigation route control. Such specifically programmed computer machines may be located in the EV and/or cloud-based or remote computer/data processing systems for the determination of preferred routes of travel, including intermediate stops at designated battery charging or replenishing stations.

Abstract: The presently disclosed subject matter includes a computerized method and a control system mountable on a vehicle for autonomously controlling the vehicle and enabling to execute a point-turn while avoiding collision with nearby obstacles. More specifically, the proposed technique enables an autonomous vehicle, characterized by an asymmetric contour, to execute a collision free point-turn, in an area crowded with obstacles. The disclosed method enables execution of a point turn quickly, without requiring the vehicle to stop.

Abstract: A robotic system includes a user interface configured to receive a jog command for manually operating a robotic unit; a control unit, coupled to the user interface, configured to: real-time parallel process the jog command including to: execute a collision check thread to determine whether the jog command results in a collision or results in an unobstructed status for the robotic unit within an operation environment based on an environment model and a robot model, execute a jog operation thread to determine whether the unobstructed status is provided within a collision check time limit; and execute the jog command by the robotic unit based on the unobstructed status provided before the collision check time limit.

Abstract: A method for operating a materials handling vehicle is provided and comprises: monitoring, by a controller, a first vehicle drive parameter during a manual operation of the vehicle by an operator; storing, by the controller, data related to the monitored first vehicle drive parameter. The controller is configured to use the stored data for implementing a semi-automated driving operation of the vehicle subsequent to the manual operation of the vehicle. The method further comprises: detecting, by the controller, operation of the vehicle indicative of a start of a pick operation occurring during the manual operation of the vehicle; and based on detecting the start of the pick operation, resetting, by the controller, the stored data related to the monitored first vehicle drive parameter.

Abstract: Appropriate network data for an indoor map can be efficiently generated using input data including a structure of an indoor space. In a network data generation device (10) that generates, from the input data including at least the structure of the indoor space and information indicating a property based on the structure of the indoor space, network data, the network data including a link representing a movable space on a map and a node that is a starting point or an ending point of the link, a link/node generation unit (142) generates a set of links and a set of nodes based on the input data.

Abstract: A method of sensing a three-dimensional (3D) space using at least one sensor is proposed. The method can include acquiring spatial information over time for the sensed 3D space, applying a neural network based object classification model to the acquired spatial information over time to identify at least one object in the sensed 3D space. The method can also include tracking the sensed 3D space including the identified at least one object, and using information related to the tracked 3D space.

Abstract: Systems and methods of servicing equipment including determining, by one or more computing devices, a workscope associated with the equipment; and at least partially-autonomously servicing the equipment in response to the determined workscope.

Abstract: To selecting a lane in a multi-lane road segment for a vehicle travelling on the road segment, a system determines current traffic information for the road segment including a plurality of lanes and applies the current traffic information to a machine learning (ML) model to generate an indication of one of the plurality of lanes in which the vehicle is to travel. Subsequently to the vehicle selecting the indicated lane, the system determines an amount of time the vehicle took to travel a certain distance following the selection, and provides the determined amount of time to the ML model as a feedback signal.

Abstract: Certain aspects of the present disclosure provide techniques for controlling at least one robot system. This includes offering control of a first robot to a first mobile application, indicating an available service offered by the first robot, and receiving instructions to perform the available service. This further includes delivering: (i) debris, (ii) dust, or (iii) cut grass to a stationary second garbage collection robot. A computing system maintains a device profile for the first robot, indicates the available service and a status of the first robot to the first mobile application, and is configured to update the first mobile application. The first robot is configured to drive while performing the available service and is controlled by at least one of: (i) a camera or (ii) a sensor, to avoid collision. The second robot is a stationary garbage collection robot configured to store the delivered debris, dust, or cut grass.

Abstract: Robot-assisted package delivery with integrated curbside parking monitoring and curb operations optimization is disclosed herein. An example method includes dispatching a delivery vehicle and delivery robot to a delivery location, the delivery location including a parking location for the delivery vehicle that allows for deployment of the delivery robot on a delivery mission, determining occupancy of the parking location, the delivery vehicle parking at the parking location when the parking location is unoccupied, the delivery robot being deployed upon parking of the delivery vehicle, and instructing the delivery vehicle to remain parked during the delivery mission or to leave the parking location and return at later point in time based on an estimated time of arrival of the delivery robot after the delivery mission.

Abstract: The technology employs a holistic approach to passenger pickups and other wayfinding situations. This includes identifying where passengers are relative to the vehicle and/or the pickup location. Information synthesis from different sensors, agent behavior prediction models, and real-time situational awareness are employed to identify the likelihood that the passenger to be picked up is at a given location at a particular point in time, with sufficient confidence. The system can provide adaptive navigation by helping passengers understand their distance and direction to the vehicle, for instance using various cues via an app on the person's device. Rider support tools may be provided, which enable a remote agent to interact with a customer via that person's device, such as using the camera on the device to provide wayfinding support to enable the person to find their vehicle. Ride support may also use sensor information from the vehicle when providing wayfinding support.

Abstract: An apparatus includes a cable having two ends and at least two object markers coupled to the cable configured to enable augmented reality (AR) detection of each end of the cable among a plurality of cables. A computer-implemented method using augmented reality (AR) technology includes selecting a cable of interest and identifying an object marker positioned toward a first end of the cable of interest. The method also includes storing the object marker, scanning a plurality of cables, and identifying a second end of the cable of interest based an instance of the object marker positioned toward the second end of the cable of interest. A computer program product for detecting ends of cables using augmented reality (AR) technology includes a computer readable storage medium having program instructions embodied therewith. The program instructions are executable by a computer to cause the computer to perform the foregoing method.

Abstract: An autonomous work machine that works on a target object in a work area while performing an autonomous travel operation in the work area, comprises an obtainment unit configured to obtain a distribution the target object of the work, a determination unit configured to determine a turn direction of the autonomous work machine in accordance with the distribution of the target object, and a control unit configured to control the autonomous work machine so that the autonomous work machine will turn in the turn direction at a turn timing during the autonomous travel operation.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to receive a time series of vectors from a sensor, determine a weighted moving mean of the vectors, determine an inverse covariance matrix of the vectors, receive a current vector from the sensor, determine a squared Mahalanobis distance between the current vector and the weighted moving mean, and output an indicator of an anomaly with the sensor in response to the squared Mahalanobis distance exceeding a threshold. The squared Mahalanobis distance is determined by using the inverse covariance matrix.

Abstract: The assistance system for correcting vessel path comprises a receiver, a memory, at least one sensor, a processor and a display. The processor connects to the receiver, the memory and the at least one sensor, and the display is coupled to the processor. The assistance system based on the processor is able to be utilizing the preset machine-readable grid in determining the distance parameters of obstacles above water, and in which these distance parameters are corrected by using the sensor measurement data acquired by the at least one sensor. Thereby the assistance system could finish the distance measurements of abovementioned obstacles without using Lidar, and even in the case of high-undulating water surface.

Abstract: A loading machine control device includes a measurement data acquisition unit acquiring measurement data of a measurement device mounted in a loading machine having working equipment, a target calculation unit calculating, based on the measurement data, a position of an upper end portion of a loading target to which an excavation object excavated by a bucket of the working equipment is loaded, a bucket calculation unit calculating position data of the bucket, an overlap determination unit determining whether the upper end portion of the loading target and the bucket that are in the measurement data overlap each other, and a working equipment control unit controlling the working equipment based on the measured position of the upper end portion of the loading target when it is determined that the upper end portion of the loading target and the bucket that are in the measurement data do not overlap each other.

Abstract: Aspects of the disclosure relate to generating scouting objectives in order to update map information used to control a fleet of vehicles in an autonomous driving mode. For instance, a notification from a vehicle of the fleet identifying a feature and a location of the feature may be received. A first bound for a scouting area may be identified based on the location of the feature. A second bound for the scouting area may be identified based on a lane closest to the feature. A scouting objective may be generated for the feature based on the first bound and the second bound.

Abstract: Recent location and control information received from “lead” vehicles that traveled over a segment of land, sea, or air is captured to inform, via aggregated data, subsequent “trailing” vehicles that travel over that same segment of land, sea, or air. The aggregated data may provide the trailing vehicles with annotated road information that identifies obstacles. In some embodiments, at least some sensor control data may be provided to the subsequent vehicles to assist those vehicles in identifying the obstacles and/or performing other tasks. Besides, obstacles, the location and control information may enable determining areas traveled by vehicles that are not included in conventional maps, as well as vehicle actions associated with particular locations, such as places where vehicles park or make other maneuvers.

Abstract: The present invention is related to a vehicle positioning device being connected to a first sensor outputting satellite positioning data, and a second sensor detecting a state amount of a vehicle and outputting the state amount as state amount data, and being connected to at least one of a third sensor detecting a terrestrial object and outputting data of a relative relationship between the terrestrial object and the vehicle, and a fourth sensor detecting a road line shape and outputting road line shape data. The vehicle positioning device includes: observed value processing circuitry configured to generate an actual observed value; sensor correction circuitry; inertial positioning circuitry; and observed value prediction circuitry configured to predict an observed value and output the observed value as a predicted observed value. Positioning calculation is performed by using the predicted observed value and the actual observed value and results are output as positioning results.

Abstract: A method and system provide the ability to autonomously operate an unmanned aerial system (UAS) over long durations of time. The UAS vehicle autonomously takes off from a take-off landing-charging station and autonomously executes a mission. The mission includes data acquisition instructions in a defined observation area. Upon mission completion, the UAS autonomously travels to a target landing-charging station and performs an autonomous precision landing on the target landing-charging station. The UAS autonomously re-charges via the target landing-charging station. Once re-charged, the UAS is ready to execute a next sortie. When landed, the UAS autonomously transmits mission data to the landing-charging station for in situ or cloud-based data processing.

Abstract: A reliability map is generated by superimposing or associating populations or other intrinsic data is superimposed or associated with a geographic map of a region, which is divided into a grid having cells of uniform size. Densities of towns, cities or other geospatial areas are determined and assigned to cells of the grid, which have sizes corresponding to minimum dimensions of a corridor required for travel by an aerial vehicle. When a mission requiring travel from an origin to a destination within the region is identified, one or more paths of a safe route between the origin and the destination are selected based on the reliability map. The safe route is selected to avoid areas of high population density or locations of critical infrastructure such as schools, hospitals or public safety buildings.

Abstract: In one embodiment, a method includes determining a fleet-level objective for a vehicle associated with instructing the vehicle to travel a route according to route criteria based on the fleet-level objective. The method includes receiving a ride request from a ride requestor associated with ride criteria including a pick-up location and a drop-off location. The method includes determining that the ride requestor is a passenger for the vehicle to satisfy the fleet-level objective contingent on modifications to the ride criteria. The method includes providing incentives to the ride requestor contingent on acceptance of the modifications to the ride criteria. The method includes, after receiving the acceptance of the modifications to the ride criteria, modifying the ride criteria in accordance with the route criteria. The method includes instructing the vehicle to transport the ride requestor based on the modified ride criteria so as to fulfill the fleet-level objective.

Abstract: Embodiments of the present disclosure are directed to systems and methods for autonomously performing and/or facilitating drone diagnostic functions. Prior to a mission of a UAV, an inspection station comprising at least one imaging sensor and at least one directional force sensor may be used to perform a plurality of air worthiness inspections and/or maintenance checks with little to no human intervention. Once the UAV has been determined to be air worthy, it is approved for a subsequent mission.

Abstract: Provided is a self-position estimation apparatus capable of appropriately estimating a self-position of a mobile object regardless of an environment around the mobile object. The self-position estimation apparatus is for estimating a self-position of a mobile object, and includes: N types of sensors (where N is a natural number equal to or greater than two) that detect information with different contents from each other regarding a moving status of the mobile object; an environment determiner that determines an environment around the mobile object; a selector that selects information detected by one or more but less than the N types of sensors based on a determination result of the environment determiner; and an estimator that estimates the self-position of the mobile object based on the information selected by the selector.

Abstract: A system receives a road network map that corresponds to a road network that is in an environment of an autonomous vehicle. For each of the one or more lane segments, the system identifies one or more conflicting lane segments from the plurality of lane segments, each of which conflicts with the lane segment, and adds conflict data pertaining to a conflict between the lane segment and the one or more conflicting lane segments to a set of conflict data. The system analyzes the conflict data to identify a conflict cluster that is representative of an intersection. The system groups predecessor lane segments and the successor lane segments as inlets or outlets of the intersection, generates an outer geometric boundary of the intersection, generates an inner geometric boundary of the intersection, creates a data representation of the intersection and adds the data representation to the road network map.

Abstract: A domestic robotic system includes a robot and data storage operable to store data defining a boundary of a working area, the robot includes a payload actuable to perform work on a portion of the working area adjacent the robot, at least one processor, a first positioning system, one or more sensors operable to sense directly the boundary of the working area and a current distance of the robot thereto, a second positioning system, which uses data from the sensors. The processor is programmed to operate in (i) an area coverage mode, wherein the processor, using the first positioning system and the stored data defining the boundary of the working area, navigates the robot around the working area, with the payload active, and (ii) a boundary proximity mode, wherein the processor, using the second positioning system, navigates the robot around the working area, in proximity to the boundary.

Abstract: A method for creating a radar localization map. The method includes: a) sensing a defined region using a surround-field sensor of a mapping vehicle; b) providing photographic satellite data of the defined region with the aid of a satellite, c) determining matching detected objects of the region in the surround-field sensor data and in the photographic satellite data; d) generating a transfer model from the matching detected objects, the photographic satellite data being transferable reciprocally into the surround-field sensor data utilizing the transfer model; and e) creating the radar localization map by use of the transfer model using photographic satellite data, the photographic satellite data being converted into corresponding data of the radar localization map.

Abstract: A method of managing a moving object in a fleet system includes: transmitting, by a user device, a moving object request message including a departure point and use time information to a server; receiving, by the user device, a list of available moving objects based on the moving object request message from the server: selecting, by the user device, a moving object from the list of available moving objects; transmitting, by the user device, reservation information based on the moving object selection information and the use time information to the server; and allocating the moving object to the user device based on the reservation information. The server may update allocation and placement information of a plurality of moving objects based on reservation information of a plurality of user devices.

Abstract: A mobile vehicle and a method of controlling the mobile vehicle are provided. The method of controlling the mobile vehicle includes defining a first line between the mobile vehicle and the user, determining a position and a size of each of at least one obstacle having a predetermined relationship with the first line, defining a second line based on the first line, the position of the at least one obstacle, and the size of the at least one obstacle, and controlling the mobile vehicle according to a direction and a size of an external force on the second line.

Abstract: In some embodiments, an electronic device displays suggested routes based on the characteristics of respective vehicles. In some embodiments, an electronic device receives data for respective vehicles from a source external to the electronic device. In some embodiments, an electronic device anonymizes a vehicle identifier and determines customized suggested routes using the anonymized vehicle identifier.

Abstract: A mobile robot platooning system includes a plurality of mobile robots operated for transfer of objects in a factory, and a central server connected to the plurality of mobile robots through wireless communication, and configured to set a path of the plurality of mobile robots to control autonomous driving of the mobile robots, wherein the central server is configured to group a platoon of the mobile robots required for processing a work, dispose the platoon of the mobile robots into a predetermined platoon form, collect state information of the platoon of the mobile robots, and control the platoon of the mobile robots to move in a synchronized form based on the state information.