Abstract: A robot cleaner includes a traveling unit to move a main body, an obstacle sensing unit to sense an obstacle, a light reception unit to receive modulated light according to a control command of a user, and a controller to control the traveling unit so that the main body traces a light spot formed by the light. If an obstacle is detected, the controller controls the traveling unit such that the main body traces an outline of the obstacle according to the light spot position and the obstacle position.

Abstract: Disclosed is a camera assembly having a wide viewing angle using a variable mirror. The camera assembly includes a variable mirror located in front of an image sensor, a variable mirror controller to switch a mode of the variable mirror to one of a reflection mode to reflect light incident upon the variable mirror and a transmission mode to transmit light incident upon the variable mirror, an image sensor to sense the light reflected by the variable mirror to acquire first image data and to sense the light transmitted through the variable mirror to acquire second image data, and an image processing unit to register the first image data and the second image data acquired by the image sensor to generate a third image.

Abstract: A robot and a control method thereof. The robot has plural robot arms, each having at least one joint unit and a hand, and the control method includes calculating in advance and storing a plurality of grasp poses to generate grasp routes, sensing respective orientations of an object, the robot arms, and an obstacle, selecting one grasp pose from among the plurality of grasp poses by judging a movable angle range of the at least one joint unit, whether or not the object collides with the obstacle, and self-collision between the robot hands based on the sensed respective orientations, and generating grasp routes using the selected grasp pose. In the control method, the plurality of feasible grasp poses is calculated in advance and then stored, thereby rapidly and stably performing grasping of the object.

Abstract: A surgical robot system capable of storing all data transmitted and received in the surgical robot system and a method of controlling the same includes a slave device performing surgery on a patient, a master device controlling a surgical operation of the slave device, an imaging device transmitting a medical image regarding the patient to the slave device and the master device, and a monitoring device comprising a storage module receiving all data transmitted and received among the slave device, the master device, and the imaging device, serializing the received data on a per transmission-time-information basis to generate serial packets, and storing the generated serial packets, and a reproduction module dividing the stored serial packets into a plurality of unit packets and transmitting the unit packets to a device for display.

Abstract: A surgical robot may include: an image information acquisition unit configured to acquire image information of an intra-abdominal environment while the surgical robot performs a surgical operation; and/or a controller configured to recognize positions of an endoscope and a tool, mounted on the surgical robot, based on the acquired image information and kinematic information of links included in the endoscope and the tool. A surgical robot may include: an image information acquisition unit configured to acquire image information of an intra-abdominal environment while the surgical robot performs a surgical operation; an inertia measurement unit configured to acquire inertia measurement information of the surgical robot; and/or a controller configured to recognize positions of an endoscope and a tool, mounted on the surgical robot, based on the acquired image information and the inertia measurement information.

Abstract: Data matching includes receiving a piece of first relational data and a piece of second relational data. The piece of first relational data is associated with a plurality of pieces of first data, and the piece of second relational data is associated with a plurality of pieces of second data. An approximate value of the piece of second relational data is calculated. A similarity is calculated based on the piece of first relational data and the approximate value of the piece of second relational data. A correspondence between a piece of the first data and a piece of the second data is determined based on the calculated similarity. An alignment parameter is calculated based on the determined correspondence, and a first data group including the piece of the first data is matched with a second data group including the piece of the second data based on the alignment parameter.

Abstract: A robot and method to recognize and handle abnormal situations includes a sensing unit to sense internal and external information of the robot, a storage unit to store the information sensed by the sensing unit, an inference model, a learning model, services providable by the robot, subtasks to provide the services, and handling tasks to handle abnormal situations, and a controller to determine whether an abnormal situation has occurred while the subtasks to provide the selected service are being performed through the learning model in the storage unit and to select a handling task to handle the abnormal situation through the inference model in the storage unit if it is determined that the abnormal situation has occurred. The robot may recognize and handle abnormal situations even though data other than that defined by a designer of the robot is input thereto due to noises or operational environment.

Abstract: A robot includes a master device including an input unit, the input unit including a first end effector and a first joint, a slave device configured to be controlled by the master device and including a robot arm, the robot arm including a second end effector, a second joint, and a motor configured to drive the second joint, and a controller configured to calculate a friction compensation value to compensate for friction of the second joint based on a speed of the input unit in response to the input unit being in motion, generate a control signal based on the friction compensation value, and transmit the control signal to the motor configured to drive the second joint.

Abstract: A robot, which may accurately detect whether or not the robot is gripping an object, even without a tactile sensor, as a result of using a sorter that utilizes a torque generated from a joint of a hand and the shape of the hand as feature data, and a control method for the robot includes a state sensing unit to sense a state of the robot, a feature vector producing unit to extract feature data from the state sensing unit and to produce a feature vector using the feature data, and a learning-based data sorter to judge an operating state of the robot using the feature vector produced by the feature vector producing unit and to output the judged result.

Abstract: A robot and method of controlling the same are provided. The robot includes a hand and an arm, a grip sensor unit configured to enable the hand to sense an object, a grip control unit configured to determine whether the hand grips the object from gripping information obtained from the grip sensor unit, select an object-based coordinate to control the hand and the arm based on a motion of the object or an independent coordinate to independently control the hand and the arm according to a result of the determination, and control the hand and the arm based on the selected coordinate, and a coordinate transformation unit configured to calculate a position and a direction of a virtual object based on the object-based coordinate, and deliver information about the position and the direction of the virtual object calculated to the grip control unit.

Abstract: A moving robot and a method to build a map for the same, wherein a 3D map for an ambient environment of the moving robot may be built using a Time of Flight (TOF) camera that may acquire 3D distance information in real time. The method acquires 3D distance information of an object present in a path along which the moving robot moves, accumulates the acquired 3D distance information to construct a map of a specific level and stores the map in a database, and then hierarchically matches maps stored in the database to build a 3D map for a set space. This method may quickly and accurately build a 3D map for an ambient environment of the moving robot.

Abstract: An object recognition method, a descriptor generating method for object recognition, and a descriptor for object recognition capable of extracting feature points using the position relationship and color information relationship between points in a group that are sampled from an image of an object, and capable of recognizing the object using the feature points, the object recognition method including extracting feature components of a point cloud using the position information and the color information of the points that compose the point cloud of the three-dimensional (3D) image of an object, generating a descriptor configured to recognize the object using the extracted feature components; and performing the object recognition based on the descriptor.

Abstract: A walking robot and a control method thereof. The control method of the walking robot which walks using two legs includes applying first virtual gravity torque including a vector component in the anti-gravity direction to respective joints of a support leg from among the two legs during walking, and applying second virtual gravity torque including a vector component in the gravity direction to respective joints of a swing leg from among the two legs during walking. Thereby, the walking robot implements a natural walking motion having a low energy consumption rate.

Abstract: A vital sign measurement robot which automatically measures vital signs, and a control method thereof. The vital sign measurement robot includes an input unit to receive vital sign measurement instructions, an image recognition unit to detect a distance between the robot and a person, vital signs of whom are to be measured, and a measurement portion of the body of the person, when the vital sign measurement instructions are received, a control unit to move electrodes provided on hands so as to locate the electrodes at the measurement portion of the body of the person, when the distance between the robot and the person and the measurement portion of the body of the person are detected, and a vital sign measurement unit to measure a vital sign, when the electrodes are located at the measurement portion of the body of the person.

Abstract: A radiographic apparatus may comprise: a radiation irradiating module configured to irradiate radiation to an object; and/or a processing module configured to automatically set a part of a region to which the radiation irradiating module is able to irradiate the radiation, to a region of interest, and further configured to determine at least one of a radiation irradiation position and a radiation irradiation zone of the radiation irradiating module based on the region of interest.

Abstract: Disclosed herein is a control method of a robot including: calculating hardness information about the ground on which a wearer moves; and controlling the robot according to the calculated hardness information.

Abstract: A method of controlling a mobile apparatus includes acquiring a first original image and a second original image, extracting a first feature point of the first original image and a second feature point of the second original image, generating a first blurring image and a second blurring image by blurring the first original image and the second original image, respectively, calculating a similarity between at least two images of the first original image, the second original image, the first blurring image, and the second blurring image, determining a change in scale of the second original image based on the calculated similarity, and controlling at least one of an object recognition and a position recognition by matching the second feature point of the second original image to the first feature point of the first original image based on the change in scale.

Abstract: A walking robot capable of implementing a balancing action to ensure a stable walking on uneven ground based on an FSM-based walking control method, and a control method thereof, is capable of implementing stable walking by controlling torques of the hip joint, the knee joint and the ankle joint by use of FSM without calculating complicated Dynamics Equations. The walking robot ensures stable walking on uneven ground through a simple calculation by use of the angle formed by the ground and the both feet The walking robot is made to be applied to a robot provided with joints having six degrees of freedom through a simple calculation of compensation angles.

Abstract: A motion assistive apparatus may include a receiver allowing a user to intuitively adjust performance of the motion assistive apparatus and a method of controlling the same. The motion assistive apparatus may include a receiver provided to adjust variable characteristics of the motion assistive apparatus, a processor to adjust a variable parameter related to adjustment of the variable characteristics, in response to adjustment of the variable characteristics through the receiver, and an actuator to output changed assist power in response to adjustment of the variable parameter to change the variable characteristics.

Abstract: A method for estimating a connection order of modules in a robot including the modules each having a joint as a basic unit. Since a device and a program are connected by software and thus a joint and program are connected by software, it is possible for a user to control robot joints without being aware of the connection relationship between the devices and the joints in the modular robot in which the plurality of modules each including a movable joint as a basic unit is connected.