Abstract:
A surgical robot system includes a slave system to perform a surgical operation on a patient and an imaging system that includes an image capture unit including a plurality of cameras to acquire a plurality of affected area images, an image generator detecting an occluded region in each of the affected area images acquired by the plurality of cameras, removing the occluded region therefrom, warping each of the affected area images from which the occluded region is removed, and matching the affected area images to generate a final image, and a controller driving each of the plurality of cameras of the image capture unit to acquire the plurality of affected area images and inputting the acquired plurality of affected area images to the image generator to generate a final image.
Abstract:
A wearable robot may be worn by a user to record or teach a motion, including a motion such as sign language. The wearable robot includes a mode to record sign language data in a system by a sign language expert wearing the wearable robot and a mode to teach the sign language data recorded in the system to a sign language learner wearing the wearable robot. A user who wishes to learn sign language may easily learn sign language. In particular, a disabled person, who has poor eyesight and is unable to watch a video that teaches sign language, may learn sign language very intuitively using the wearable robot. Further, a user who has normal eyesight may also learn sign language more easily than from using a video which teaches sign language or from a sign language expert.
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 mobile apparatus and a localization method thereof which perform localization of the mobile apparatus using a distributed filter system including a plurality of local filters independently operated and one fusion filter integrating results of localization performed through the respective local filters, and additionally apply accurate topological absolute position information to the distributed filter system to improve localization performance (accuracy, convergence and speed in localization, etc.) of the mobile apparatus on a wide space. The mobile apparatus includes at least one sensor, at least one first distribution filter generating current relative position information using a value detected by the at least one sensor, at least one second distribution filter generating current absolute position information using the value detected by the at least one sensor, and a fusion filter integrating the relative position information and the absolute position information to perform localization.
Abstract:
A method for estimating a location of a device uses a color image and a depth image. The method includes matching the color image to the depth image, generating a 3D reference image based on the matching, generating a 3D object image based on the matching, extracting a 2D reference feature point from the reference image, extracting a 2D reference feature point from the object image, matching the extracted reference feature point from the reference image to the extracted reference feature point from the object image, extracting a 3D feature point from the object image using the matched 2D reference feature point, and estimating the location of the device based on the extracted 3D feature point.
Abstract:
A walking robot includes hip joints of plural legs, a pose detector to detect a pose, a walking state judger to judge a walking state from the pose, a target angle trajectory generator to judge support and swing legs based on the walking state, to judge whether or not the swing leg contacts a surface prior to a prestored time, to shorten the next support cycle executed by the swing leg upon judging that the swing leg contacts a surface prior to the prestored time, and to generate target angle trajectories of the hip joints based on the shortened support cycle, a torque calculator to calculate torques tracking the target angle trajectories, and a controller to output the torques to the hip joint to control walking of the walking robot.
Abstract:
A speech signal transmission apparatus includes an extractor to extract speech signals from speech source signals collected by a plurality of microphones, a power calculator to calculate powers of speech signals of multiple channels and set any one of the speech signals of the multiple channels as a reference speech signal, a synchronization adjustor to adjust synchronization of the other speech signals based on the reference speech signal, a signal generator to generate extraction signals by offsetting the reference speech signal from the other synchronization-adjusted speech signals, an encryptor to compress and encrypt the reference speech signal and the extraction signals, and a transmitter to transmit the compressed and encrypted reference speech signal and extraction signals.
Abstract:
A method for controlling a surgical robot includes calculating an external force acting on a robot arm mounted with a surgical instrument, filtering the external force acting on the robot arm when a central point of an incision is set, calculating a virtual force to enable the surgical instrument which is positioned away from the central point of the incision to return to the central point of the incision, and applying the calculated virtual force to the filtered external force, to control movement of the robot arm. As a result, it is possible to compactly design the surgical robot and thereby reduce the volume of the surgical robot.
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.