Abstract:
Provided are a walk-assistive robot and a method of controlling the same. The method of controlling the walk-assistive robot includes: obtaining ground information that is information regarding ground a walking direction; determining control patterns of the walk-assistive robot by analyzing the obtained ground information; and controlling the walk-assistive robot based on the determined control patterns.
Abstract:
Laparoscopic surgical devices include a first member having a first gear, a second member having a second gear corresponding to the first gear, a connection member configured to connect the first member and the second member; first and second wire mounting pieces respectively at the first and second members, a first wire wound on the first wire mounting pieces so as to be pulled upon receiving a first drive force; and a second wire wound on the second wire mounting pieces so as to be pulled upon receiving a second drive force. The drive unit is configured to selectively transmit the first and second amplified driving forces to a respective one the first member and the second member to cause tilting of the first member and the second member.
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:
Disclosed herein is a control method of a robot hand including recognizing a pre-posture of user's fingers using a master device, changing the shape of the robot hand according to the recognized pre-posture, recognizing a gripping motion of the user's fingers using the master device, and executing a gripping motion of the robot hand according to a gripping posture corresponding to the recognized pre-posture.
Abstract:
An image processing apparatus and method may accurately separate only humans among moving objects, and also accurately separate even humans who have no motion via human segmentation using a depth data and face detection technology. The apparatus includes a face detecting unit to detect a human face in an input color image, a background model producing/updating unit to produce a background model using a depth data of an input first frame and face detection results, a candidate region extracting unit to produce a candidate region as a human body region by comparing the background model with a depth data of an input second or subsequent frame, and to extract a final candidate region by removing a region containing a moving object other than a human from the candidate region, and a human body region extracting unit to extract the human body region from the candidate region.
Abstract:
Disclosed herein are a multi-touch recognition apparatus and a control method thereof. The multi-touch recognition apparatus executes blur filtering for noise removal when an image is input through a camera unit photographing a screen of a display panel supporting multi-touch, calculates and outputs a difference image obtained by removing the background image stored in the storage unit from the blur-filtered image, calculates a new background image using the difference image and a binary image of the difference image, and updates the background image stored in the storage unit using the calculated new background image, thereby effectively removing a background other than multi-touch and thus improving multi-touch recognition performance.
Abstract:
A three dimensional (3D)imaging system capable of effectively displaying a 3D image suitable for a user by use of different cameras, and an image reproducing method thereof, the 3D imaging system configured to have different cameras freely selected without restriction while enabling the placement of the cameras thereof to be changeable according to the disposition of eyes of the user, so that a 3D image is generated and displayed from a stereo image adapted to the user, and by using the by-user generated 3D image, various contents services including a real time broadcasting, a Contents on Demand (COD), games, and a video communication are provided to a user, so that the fatigue or dizziness of a user is reduced, and the optimum perception of 3D sense is provided.
Abstract:
A robot control method of controlling a robot that has a flexible module including ‘n’ first nodes participating in pan motion and ‘n’ second nodes participating in tilt motion may include: measuring a translational motion distance, a pan motion angle, and a tilt motion angle of the flexible module; calculating state vectors of the ‘n’ first nodes and the ‘n’ second nodes using the measured translational motion distance; calculating operating angle distribution rates of the ‘n’ first nodes and operating angle distribution rates of the ‘n’ second nodes using the calculated state vectors of the ‘n’ first nodes and the calculated state vectors of the ‘n’ second nodes; and/or calculating operating angles of the ‘n’ first nodes and operating angles of the ‘n’ second nodes using the calculated operating angle distribution rates and the measured pan motion angle and tilt motion angle.
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 surgical robot system and a control method thereof include a slave device and a master device to control motion of the slave device. The surgical robot system further includes a monitoring device that inspects a signal transmitted within the system in real time to stop motion of the slave device if an abnormal signal is detected.