This paper introduces GET-Zero, a model architecture and training procedure for learning an embodiment-aware control policy that can immediately adapt to new hardware changes without retraining. To do ...

In human body action recognition, graph convolutional networks (GCNs) show remarkable capability, compared to other deep learning (DL) methods, in capturing latent correlations within the human body ...

5th Circuit Remands Short-Sale Reporting Rules, Faulting SEC's 'Regulatory Sleight of Hand' The agency had considered the economic impact of the policies separately.

A high-accuracy hand-eye calibration is vital in robotic inspection (RI). The inaccurate robotic kinematic matrix and sensors extrinsic matrix decrease the accuracy of the hand-eye calibration matrix.