Abstract: An apparatus, method and computer-readable medium planning a path of a robot by planning an optimal path while satisfying a dynamic constraint. In a process of searching for a motion path from a start point to a goal point while extending a tree from a start point of a configuration space to generate a path, along which a manipulator of the robot is moved in order to perform a task, an optimal path is generated responsive to the dynamic constraint of the manipulator of the robot to generate stable motion satisfying momentum and Zero Moment Position (ZMP) constraint. Accordingly, path planning performance is improved and a path satisfying a kinematic constraint and a dynamic constraint is rapidly obtained.

Abstract: A robot, which performs natural walking similar to a human with high energy efficiency through optimization of actuated dynamic walking, and a control method thereof. The robot includes an input unit to which a walking command of the robot is input, and a control unit to control walking of the robot by calculating torque input values through control variables, obtaining a resultant motion of the robot through calculation of forward dynamics using the torque input values, and minimizing a value of an objective function set to consist of the sum total of a plurality of performance indices through adjustment of the control variables.

Abstract: An apparatus and method for estimating a three-dimensional face position. The method of estimating the three-dimensional face position includes acquiring two-dimensional image information from a single camera, detecting a face region of a user from the two-dimensional image information, calculating the size of the detected face region, estimating a distance between the single camera and the user's face using the calculated size of the face region, and obtaining positional information of the user's face in a three-dimensional coordinate system using the estimated distance between the single camera and the user's face. Accordingly, it is possible to estimate the distance between the user and the single camera using the size of the face region of the user in the image information acquired by the single camera so as to acquire the three-dimensional position coordinates of the user.

Abstract: A bumper structure of a cleaning robot which detects whether or not an obstacle contacts a bumper and a position of the obstacle, allows the bumper to be simply process and reduces the number of components of the cleaning robot to lower the production costs of the cleaning robot. The bumper structure includes a main body, a bumper installed on the front surface of the main body, a resistance film provided between the main body and the bumper and fixed to the main body, and a metal film provided between the main body and the bumper and fixed to the bumper such that the shape of the metal film is deformed together with the bumper and the metal film comes into contact with the resistance film when at least one obstacle contacts the bumper, so as to measure resistance values.

Abstract: Disclosed is a humanoid robot apparatus, method and computer-readable medium thereof related to lifting and holding a heavy object having a weight unknown to the robot, by measuring an external force acting on the robot. Linear momentum and rotational momentum are compensated for stepwise according to the degree of stability of the robot which is determined based on the measured external force. Accordingly, the robot stably lifts and holds the object without losing its balance.

Abstract: Disclosed herein are a markerless augmented reality system and method for extracting feature points within an image and providing augmented reality using a projective invariant of the feature points. The feature points are tracked in two images photographed while varying the position of an image unit, a set of feature points satisfying a plane projective invariant is obtained from the feature points, and augmented reality is provided based on the set of feature points. Accordingly, since the set of feature points satisfies the plane projective invariant even when the image unit is moved and functions as a marker, a separate marker is unnecessary. In addition, since augmented reality is provided based on the set of feature points, a total computation amount is decreased and augmented reality is more efficiently provided.

Abstract: A torque-based walking robot and a control method thereof which stably controls walking of the robot. In the control method, in which high rigidity, equal to that achieved through a position-based control method, is achieved using a torque-based control method without switching between the position-based control method and the torque-based control method while the robot is in motion, a difference between a target torque and a measured torque is forcibly generated by limiting a torque range measurable by each torque sensor, thereby increasing voltage applied to each actuator, and thus achieving high rigidity, equal to that achieved through the position-based control method, using the torque-based control method without switching between the position-based control method and the torque-based control method.

Abstract: A single port surgical robot capable of setting the location of a remote center motion (RCM) point, and a control method thereof includes: a first link connected to a body by a first joint in a direction perpendicular to the body, the first link having a linear structure; a second link connected to the upper end of the first link by a second joint, the second link having a curved structure; a third link connected to the upper end of the second link by a third joint, the third link having a cylindrical structure; a plurality of light-emitting units arranged on the lower end of the third link along the circumference of the third link, and configured to emit light toward a remote center motion (RCM) point; and a controller configured to adjust the location of the RCM point.

Abstract: A robot and a control method thereof. The control method includes generating and storing plural grasping motions corresponding to data of a target object, selecting a grasping motion corresponding to a grasping purpose of the target object among the plural grasping motions, generating a path of arms corresponding to the selected grasping motion, calculating torques to track the path of the arms, and outputting the torques toward the arms so as to perform movement of the arms and grasping of the target object. The grasping motion path corresponding to the grasping purpose is generated and the path of arms is generated, thereby reducing overall calculation time during grasping of the target object to increase calculating efficiency, minimizing generation of the path of the arms, and allowing an arm path calculating process to be performed at the late stage of a grasping control process to improve grasping performance.

Abstract: Disclosed are a robot, which builds a map using a surface data of a three-dimensional image, from which a dynamic obstacle is removed, and a method of building a map for the robot. The method includes sequentially acquiring first and second surface data of a route on which the robot moves; matching the first and second surface data with each other to calculate a difference between the first and second surface data; detecting a dynamic obstacle from the first and second surface data according to the difference between the first and second surface data; generating a third surface data by removing the dynamic obstacle from at least one of the first and second surface data; and matching the third surface data and any one of the first and second surface data with each other to build the map.

Abstract: An object pose recognition apparatus and method. The object pose recognition method includes acquiring first image data of an object to be recognized and 3-dimensional (3D) point cloud data of the first image data, and storing the first image data and the 3D point cloud data in a database, receiving input image data of the object photographed by a camera, extracting feature points from the stored first image data and the input image data, matching the stored 3D point cloud data and the input image data based on the extracted feature points and calculating a pose of the photographed object, and shifting the 3D point cloud data based on the calculated pose of the object, restoring second image data based on the shifted 3D point cloud data, and re-calculating the pose of the object using the restored second image data and the input image data.

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 3D object tracking method and apparatus in which a model of an object to be tracked is divided into a plurality of polygonal planes and the object is tracked using texture data of the respective planes and geometric data between the respective planes to enable more precise tracking. The 3D object tracking method includes modeling the object to be tracked to generate a plurality of planes, and tracking the plurality of planes, respectively. The modeling of the object includes selecting points from among the plurality of planes, respectively, and calculating projective invariants using the selected points.

Abstract: An object recognition system including an image data storage unit to store a captured image, a feature extraction unit to extract an image having a predetermined rotational component among rotational components of the image stored in the image data storage unit and to extract feature vectors based on the extracted image, a database unit to store object information, a recognition unit to determine whether an object corresponding to the captured image is present in the database unit through comparison between the feature vectors extracted by the feature extraction unit and the object information stored in the database unit and to recognize information on the object stored in the database unit based on determination as to whether the object corresponding to the captured image is present in the database unit, and a system administration unit to receive the information on the object recognized by the recognition unit.

Abstract: A system and method for extracting 3D coordinates, the method includes obtaining, by a stereoscopic image photographing unit, two images of a target object, and obtaining 3D coordinates of the object on the basis of coordinates of each pixel of the two images, measuring, by a Time of Flight (TOF) sensor unit, a value of a distance to the object, and obtaining 3D coordinates of the object on the basis of the measured distance value, mapping pixel coordinates of each image to the 3D coordinates obtained through the TOF sensor unit, and calibrating the mapped result, determining whether each set of pixel coordinates and the distance value to the object measured through the TOF sensor unit are present, calculating a disparity value on the basis of the distance value or the pixel coordinates, and calculating 3D coordinates of the object on the basis of the calculated disparity value.

Abstract: A walking control apparatus of a robot includes a joint portion provided in each of a plurality of legs of the robot, a pose sensing unit to sense the pose of the robot, a walking state determination unit to determine a walking state from the pose of the robot, a knot point compensation value calculator to determine a Center Of Mass (COM) of the robot from the pose of the robot and to calculate a knot point compensation value, a desired angle trajectory generator to generate a reference knot point of the joint portion corresponding to the walking state, to compensate for the reference knot point using the knot point compensation value so as to generate a desired knot point, and to generate a desired angle trajectory of the joint portion using the desired knot point.

Abstract: A control method may be applied to a surgical robot system including a slave robot having a robot arm to which a main surgical tool and an auxiliary surgical tool are coupled, and a master robot having a master manipulator to manipulate the robot arm. The control method includes acquiring data regarding a motion of the master manipulator, predicting a basic motion to be performed by an operator based on the acquired motion data and results of learning a plurality of motions constituting a surgical task, and adjusting the auxiliary surgical tool so as to correspond to the operator basic motion based on the predicted basic motion. The control method allows an operator to perform surgery more comfortably and to move or fix all required surgical tools to or at an optimized surgical position.

Abstract: Disclosed herein is a computer-readable medium and method of a mobile platform detecting and tracking dynamic objects in an environment having the dynamic objects. The mobile platform acquires a three-dimensional (3D) image using a time-of-flight (TOF) sensor, removes a floor plane from the acquired 3D image using a random sample consensus (RANSAC) algorithm, and individually separates objects from the 3D image. Movement of the respective separated objects is estimated using a joint probability data association filter (JPDAF).

Abstract: An augmented reality (AR) service apparatus includes a camera to capture an actual image, a controller to receive feature point information about the captured image from at least one of a plurality of base stations (BSs), detect a location of the camera by matching data of feature points with data of the image, and provide location-based information in a same direction as the captured image according to the location of the camera, and a display to realize an AR service by combining the captured image with the location-based information under control of the controller.

Abstract: A manipulator, and a control method thereof, calculates a degree of freedom (DOF) used to prevent collision with an obstacle in consideration of an order of priority of DOFs for an operation and collision avoidance contribution. The manipulator judges whether there is danger of collision of the manipulator with an obstacle, judges whether or not there is at least one operating DOF capable of avoiding collision with the obstacle among the plurality of operating DOFs, upon judging that there is danger of collision with the obstacle, and avoids collision with the obstacle using at least one operating DOF having the lowest priority while performing the operation among the at least one operating DOF capable of avoiding collision with the obstacle, upon judging that there is the at least one operating DOF capable of avoiding collision with the obstacle.