Samsung Electronics Co., Ltd.

Volkan Isler

Daniel Dongyuel Lee

Eric Anthony Mitchell

Selim Engin

Daewon Lee

Jinwook Huh

Sebastian Seung

Bhoram Lee

Ben Eisner

Tarik Tosun

Daniel Lee

An apparatus for estimating a trajectory of a tool may include: a memory storing instructions; and a processor configured to execute the instructions to: receive a task to be performed by the tool on a target object; receive a grayscale image and a depth image of the target object; and estimate a tool trajectory for performing the task, from the grayscale image and the depth image, via a pixels-to-plans neural network that is trained based on a labeled tool trajectory that is generated from a point cloud model of the target object.

Method and apparatus for estimating tool trajectories

An apparatus for representing a three-dimensional (3D) object, the apparatus includes a memory storing instructions, and a processor configured to execute the instructions to transmit a two-dimensional (2D) image to an external device, based on the 2D image being transmitted, receive, from the external device, mapping function parameters that are obtained using a first neural network, set a mapping function of a second neural network, based on the received mapping function parameters, and based on 3D samples, obtain the 3D object corresponding to the 2D image, using the second neural network of which the mapping function is set.

Higher-order function networks for learning composable three-dimensional (3D) object and operating method thereof

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Saint Paul, MN, United States of America

Volkan Isler