Abstract: The present disclosure generally relates to a surgical implant comprising: an accelerometer; a sensor; and a processor. The processor configured to: receive a first data from the accelerometer based on a movement of the surgical implant; determine a type of movement of the surgical implant based on the first data; and adjust power to the sensor based on the type of movement of the surgical implant.

Abstract: The present invention relates to a method for computing a pose for a robot head for handling an object by means of a handle connected to said object, comprising the steps of: (a) obtaining, by means of a vision sensor, an image of a scene comprising said object and said handle, said image comprising 3D information and preferably color information; (b) segmenting, by means of a trained segmentation NN, said image, according to a plurality of semantic components comprising at least a first semantic component relating to said object and a second semantic component relating to said handle; (c) determining, based on said plurality of semantic components, handling data for handling said object, said handling data comprising a handling position being on said handle; and (d) computing, based on said handling data, a pose for said robot head, said pose comprising at least a robot head position for approaching said handle.

Abstract: A method for generating a technical instruction for handling a 3D physical object present within a reference volume and comprising a 3D surface, the method comprising: obtaining at least two images of the object from a plurality of cameras positioned at different respective angles with respect to the object; generating, with respect to the 3D surface, a voxel representation segmented based on the at least two images, said segmenting comprising identifying a first segment component corresponding to a plurality of first voxels and a second segment component corresponding to a plurality of second voxels different from the plurality of first voxels; performing a measurement with respect to the plurality of first voxels; and computing the technical instruction for the handling of the object based on the segmented voxel representation and the measurement, wherein said segmenting relates to at least one trained NN being trained with respect to the 3D surface.

Abstract: A wirelessly powered medical implant system comprising: a power source system including: an automatic gain controller to receive input power, automatically adjust the input power based on a feedback signal with an offset phase delay, and provide the adjusted input power as output power; a source resonator to generate, based on the output power, a magnetic field to transmit wireless power via the magnetic field, and provide the feedback signal; and an offset phase delay circuit to receive the feedback signal from the source resonator, generate the offset phase delay, and include the offset phase delay with the feedback signal; and a medical implant including: an implant resonator to receive the transmitted wireless power via the magnetic field; and one or more sensors, wherein the feedback signal is based on inductive coupling of the magnetic field between the source resonator and the implant resonator.

Abstract: The present invention relates to a computer-implemented method for labelling a training set, preferably for training a neural network, with respect to a 3D physical object by means of a GUI, the method comprising the steps of: obtaining a training set relating to a plurality of training objects, each of the training objects comprising a 3D surface similar to the 3D surface of said object, the training set comprising at least two images for each training object; generating, for each training object, a respective 3D voxel representation based on the respective at least two images; receiving, via said GUI, manual annotations with respect to a plurality of segment classes from a user of said GUI for labelling each of the training objects; and preferably training, based on said manual annotations (91, 92, 93), at least one NN, for obtaining said at least one trained NN.

Abstract: The present invention relates to a method for generating a robot command for handling a three-dimensional, 3D, physical object present within a reference volume and comprising a 3D surface, comprising: obtaining at least two images of said physical object from a plurality of cameras positioned at different respective angles with respect to said object; generating, with respect to the 3D surface of said object, a voxel representation segmented based on said at least two images; and computing the robot command for said handling of said object based on said segmented voxel representation.