Abstract:
A present disclosure relates to a shape compliant electroadhesive gripper for picking up atypical objects having various shapes, sizes, and materials, and a shape compliant electroadhesive gripper according to one embodiment of the present disclosure includes a body, a shape compliant module disposed on the body, rigidity of the shape compliant modules being variably controllable, and an electroadhesive module disposed on the shape compliant module.
Abstract:
A frame assembly includes a first longitudinal member, a second longitudinal member spaced apart from the first longitudinal member, and a plurality of distance maintaining members connected between the first longitudinal member and the second longitudinal member, and configured to maintain a distance between the first longitudinal member and the second longitudinal member.
Abstract:
The present invention relates to a method and apparatus for supporting location registration and mobility for each service flow in relation to a Mobile Node (MN) having a plurality of wired/wireless network interfaces in a wired/wireless integrated network environment. A method includes receiving a location registration message from a specific Handover Control Agent (HCA) connected to an MN, determining a movement of a flow, configured in another HCA to which the MN is connected, based on predetermined static flow binding information or a network status, sending a location registration Ack. message, comprising information on a HCA in which the flow is configured and to which a Corresponding Node (CN) is connected, to the specific HCA, and sending a location notification message, comprising information on the specific HCA to which the flow will be moved and to which the CN is connected, to the HCA.
Abstract:
Provided is a vibration apparatus, method and computer-readable medium generating vibrations and ultrasonic waves. The vibration apparatus, method and computer-readable medium may generate the vibrations or the ultrasonic waves in accordance with a first control signal and a second control signal each having a frequency band different from each other.
Abstract:
Provided is a parallel operation processing apparatus and method. The parallel operation processing apparatus and method may generate an interpolated matrix with respect to a character included in each of a current frame and a next frame using a matrix corresponding to each of the current frame and the next frame generated, based on joint information corresponding to a plurality of joints included in the character. Also, the parallel operation processing apparatus and method may display an interpolated frame using the interpolated matrix.
Abstract:
Disclosed herein are an apparatus and a method for driving a gyroscope sensor. The apparatus for driving a gyroscope sensor includes: a detection module; a phase conversion module; an inversion module; a switch module selecting and outputting any one of the driving voltage and the inversion voltage for each axis; a driving module supplying driving voltage of a driving axis at the time of the driving and supplying inversion voltage at the time of stopping the driving; and a control unit passing the driving voltage of the driving axis by controlling the switch module according to a switching control signal at the time of the driving and passing the inversion voltage of each axis by controlling the switch module according to the switching control signal at the time of stopping the driving.
Abstract:
Provided is a parallel operation processing apparatus and method. The parallel operation processing apparatus and method may generate an interpolated matrix with respect to a character included in each of a current frame and a next frame using a matrix corresponding to each of the current frame and the next frame generated, based on joint information corresponding to a plurality of joints included in the character. Also, the parallel operation processing apparatus and method may display an interpolated frame using the interpolated matrix.
Abstract:
An augmented reality (AR) system includes a data generator configured to generate three-dimensional (3D) data corresponding to a press mold product, and an AR terminal configured to convert the 3D data into AR data. The AR terminal includes a data inputter configured to receive the 3D data and display information corresponding to location information of each node of the 3D data. The AR terminal also includes a data processor configured to convert the 3D data into a form of polygon mesh according to a type of form information of the 3D data and generate AR data in a form of 3D virtual model through matching with the display information. The AR terminal additionally includes a data augmentation part configured to augment and match the AR data on a real product displayed on a camera image, and augment and display the display information for each node, through a user interface (UI).
Abstract:
A robot joint device may include a first frame unit having a first hollow portion, a second frame unit having a second hollow portion, the second frame unit spaced apart from the first frame unit, a rotational axis unit on and between the first and second hollow portions and configured to rotate around first, second and third axes which are perpendicular to one another, a first link unit extending to bypass the rotational axis unit, connected to each of the first and second frame units with the rotational axis unit interposed therebetween, and configured to rotate around the first and second axes, and a second link unit extending to bypass the rotational axis unit while intersecting with the first link unit, connected to each of the first and second frame units with the rotational axis unit interposed therebetween, and configured to rotate around the first and second axes.
Abstract:
A module-based prefabricated artificial intelligence development system may be provided. The system according to an embodiment of the present disclosure may include: an adaptive artificial intelligence development unit; and an AI module hub, wherein the adaptive artificial intelligence development unit comprises: analysis unit configured to obtain adaptive autonomous agent requirement information and receive an AI topology and AI modules corresponding to the adaptive autonomous agent requirement information from the AI module hub; an assembly unit configured to generate a candidate artificial intelligence model by assembling the AI modules based on the AI topology; and a training unit configured to train the candidate artificial intelligence model.