Abstract: A method of operating a cloud server to control a robot providing a service in connection with a service application includes receiving an instruction to provide the service from the service application; and based on the received instruction, generating a plurality of sub-instructions by specifying the received instruction; and transmitting each sub-instruction, from among the plurality of sub-instructions, to the robot, wherein the transmitted sub-instructions are instructions for controlling the robot.

Abstract: A training system for a robot includes: a model having a transformer architecture and configured to determine how to actuate at least one of arms and an end effector of the robot; a training dataset including sets of demonstrations for the robot to perform training tasks, respectively; and a training module configured to: meta-train a policy of the model using first ones of the sets of demonstrations for first ones of the training tasks, respectively; and optimize the policy of the model using second ones of the sets of demonstrations for second ones of the training tasks, respectively, where the sets of demonstrations for the training tasks each include more than one demonstration and less than a first predetermined number of demonstrations.

Abstract: A computer-implemented method of determining a position of a portable electronic device in an indoor environment includes: at a first rate, updating an absolute position of a portable electronic device within the indoor environment based on at least one of radio signal data and magnetic field data captured using the portable electronic device; at a second rate that is different than the first rate, selectively updating an estimated displacement of the portable electronic device within the indoor environment, the updating the estimated displacement comprising generating an estimated displacement, by a neural network module, based on inertial sensor data of the portable electronic device; and determining a present position of the portable electronic device within the indoor environment by updating a previous position based on at least one of (a) the estimated displacement and (b) the absolute position.

Abstract: A visual localization method includes generating a first feature point map by using first map data calculated on the basis of a first viewpoint; generating a second feature point map by using second map data calculated on the basis of a second viewpoint different from the first viewpoint; constructing map data for localization having the first and second feature point maps integrated with each other, by compensating for a position difference between a point of the first feature point map and a point of the second feature point map; and performing visual localization by using the map data for localization.

Abstract: Security check methods and systems over a user on a vehicle may be provided. The security check method including checking an allowed security right to a destination of a vehicle for entry, detecting a security right of a user on the vehicle, and performing a security process related to getting off the vehicle, based on the security right of the user and the allowed security right may be provided.

Abstract: A method of generating a map for visual localization includes specifying a virtual camera pose by using 3-dimensional (3D) model data which is based on an image of an outdoor space captured from the air; rendering the image of the outdoor space from a perspective of the virtual camera, by using the virtual camera pose and the 3D model data; and generating a feature point map by using the rendered image and the virtual camera pose.

Abstract: In a moving path guide providing method, device, system, and computer program, an information point easily recognizable around a path where a user moves is selected and the moving path is provided to the user on the basis of the selected information point, so as to allow the user to more conveniently and easily move via the path according to the guide.

Abstract: A planetary gear actuator including a sun gear, a rotary internal gear being concentric with the sun gear, a fixed internal gear being concentric with the sun gear, compound planetary gears, and a carrier connected to each of the compound planetary gears so as to be rotatable relative to each of compound planetary gears may be provided, Each of the compound planetary gears may include a first planet gear engaged with the sun gear, a second planet gear at one side of the first planet gear, engaged with the rotary internal gear, and having a smaller number of teeth than the first planet gear, and a third planet gear at another side of the first planet gear, engaged with the fixed internal gear, and having a smaller number of teeth than the first planet gear. One compound planetary gear may overlap another compound planetary gear in a thickness direction.

Abstract: A head up display for a vehicle including a display device configured to output light forming an image, an optical system configured to control a path of the light such that the image is output towards a light transmission region, and a controller configured to generate the image based on a first view and a second view such that a virtual image is produced on a ground surface in the light transmission region, the first view being towards the ground surface , the second view being towards a 3D space above the ground surface, the first view and the second view being based on an eye-box, the ground surface being in front of the vehicle, and the virtual image including a graphic object having a stereoscopic effect, and control the display device to output the image.

Abstract: A control method and system for a robot. The robot control method includes allocating a task to a robot, the task associated with a place and a target user, determining a location of the target user based on an image received from a camera, the camera being arranged in a space including the place, and controlling a performance time of the task based on the location of the target user and the place.

Abstract: According to at least some example embodiments, a delivery method includes acquiring invoice information of an object based on scanning of the object by a scanner; specifying a target user matched with the invoice information by using a user database (DB); extracting target information corresponding to the target user from the user DB; generating identification information based on the invoice information and the target information; generating an identification mark, including the identification information, to be attached to the object; and controlling a robot which has scanned the identification mark to deliver the object to the target user.

Abstract: A robot control method includes receiving an image of a space where a robot drives; receiving driving information related to driving of the robot, from the robot; controlling a display unit to output a graphic object corresponding to the driving information, together with the image; and determining a visual characteristic of the graphic object based on the driving information, wherein the controlling includes controlling the display unit to output the graphic object in an overlapping manner with the image.

Abstract: The present invention relates to methods for learning a robot task and robots systems using the same. A robot system may include a robot configured to perform a task, and detect force information related to the task, a haptic controller configured to be manipulatable for teaching the robot, the haptic controller configured to output a haptic feedback based on the force information while teaching of the task to the robot is performed, a sensor configured to sense first information related to a task environment of the robot and second information related to a driving state of the robot, while the teaching is performed by the haptic controller for outputting the haptic feedback, and a computer configured to learn a motion of the robot related to the task, by using the first information and the second information, such that the robot autonomously performs the task.

Abstract: A robot control method includes receiving, from a robot located in a space, location information of the robot; specifying, based on the received location information, at least one external camera from among a plurality of external cameras located in the space, the at least one external camera being located at a first location in the space, the first location corresponding to the received location information; receiving a robot image and at least one a space image, the robot image being an image obtained by a robot camera included in the robot and the at least one space image including at least one image obtained by the specified at least one external camera; and outputting the received robot image and at least one space image to a display unit.

Abstract: A robot remote control method and system capable of remotely controlling navigation of a robot. The robot remote control method includes outputting both a map image and an ambient image to a display, the map image including location information corresponding to the ambient image, the ambient image being of surroundings of a robot, and the ambient image being received from a camera at the robot, generating a control command for controlling the robot in response to an input to the display during the outputting, and causing the robot to drive according to the control command by transmitting the control command to the robot.

Abstract: A system includes: a depth module including an encoder and a decoder and configured to: receive a first image from a first time from a camera; and based on the first image, generate a depth map including depths between the camera and objects in the first image; a pose module configured to: generate a first pose of the camera based on the first image; generate a second pose of the camera for a second time based on a second image; and generate a third pose of the camera for a third time based on a third image; and a motion module configured to: determine a first motion of the camera between the second and first times based on the first and second poses; and determine a second motion of the camera between the second and third times based on the second and third poses.

Abstract: Disclosed are a method and a system for training an autonomous driving agent on the basis of deep reinforcement learning (DRL). The agent training method according to one embodiment may comprise a step of training an agent through an actor-critic algorithm in a simulation for DRL. The step of training may include inputting first information to an actor network to determine an action of the agent, and inputting second information to a critic to evaluate how helpful the action is to maximizing a reward in the actor-critic algorithm, the second information comprising the first information and additional information.

Abstract: A method for detecting changes in road information includes converting a captured road image and a projected road-layout map into first intermediate data and second intermediate data of a same feature space, respectively, and calculating the similarity between the captured road image and the projected road-layout map based on the first intermediate data and the second intermediate data Thereafter, the presence or the absence of changes in road information on the projected road-layout map is detected based on the calculated similarity.

Abstract: A system for generating whole body poses includes: a body regression module configured to generate a first pose of a body of an animal in an input image by regressing from a stored body anchor pose; a face regression module configured to generate a second pose of a face of the animal in the input image by regressing from a stored face anchor pose; an extremity regression module configured to generate a third pose of an extremity of the animal in the input image by regressing from a stored extremity anchor pose; and a pose module configured to generate a whole body pose of the animal in the input image based on the first pose, the second pose, and the third pose.