公开(公告)号：US20220147800A1

公开(公告)日：2022-05-12

申请号：US17526628

申请日：2021-11-15

Applicant: Intel Corporation

Inventor： Julio ZAMORA ESQUIVEL ,  Hector CORDOURIER MARURI ,  Jose CAMACHO PEREZ ,  Paulo LOPEZ MEYER ,  Jesus Adan CRUZ VARGAS

IPC: G06N3/04 ,  G06N3/08

Abstract: Methods and apparatuses for implementing a neural network using symmetric tensors. In embodiments, a system may include a higher order neural network with a plurality of layers that includes an input layer, one or more hidden layers, and an output layer. Each of the input layer, the one or more hidden layers, and the output layer includes a plurality of neurons, where the plurality of neurons includes at least first order neurons and second order neurons, and where inputs at a second order neuron are combined using a symmetric tensor.

公开(公告)号：US20250110499A1

公开(公告)日：2025-04-03

申请号：US18476347

申请日：2023-09-28

Applicant: Intel Corporation

Inventor： Leobardo Emmanuel CAMPOS MACIAS ,  Rafael DE LA GUARDIA GONZALEZ ,  David GOMEZ GUTIERREZ ,  David GONZALEZ AGUIRRE ,  Julio ZAMORA ESQUIVEL

IPC: G05D1/02 ,  G06T15/08 ,  G06T17/00 ,  G06V20/50 ,  G06V20/70

Abstract: Disclosed herein are devices, systems, and methods for representing a workspace of a robot. The system includes a sensor configured to capture an image of the workspace. The system also includes a processor in communication with the sensor. The processor is configured to convert the image into a point cloud representation of the workspace. The processor is also configured to determine, for at least one point in the point cloud representation, a hash code that relates a task state to a volumetric space associated with the at least one point. The processor is also configured to determine a motion plan for the robot within the workspace based on the hash code and to cause the robot to execute the motion plan.

公开(公告)号：US20190042921A1

公开(公告)日：2019-02-07

申请号：US15924947

申请日：2018-03-19

Applicant: Intel Corporation

Inventor： Julio ZAMORA ESQUIVEL ,  Hector CORDOURIER MARURI ,  Jose CAMACHO PEREZ ,  Paulo LOPEZ MEYER ,  Jesus Adan CRUZ VARGAS

IPC: G06N3/04 ,  G06N3/08

Abstract: Methods and apparatuses for implementing a neural network using symmetric tensors. In embodiments, a system may include a higher order neural network with a plurality of layers that includes an input layer, one or more hidden layers, and an output layer. Each of the input layer, the one or more hidden layers, and the output layer includes a plurality of neurons, where the plurality of neurons includes at least first order neurons and second order neurons, and where inputs at a second order neuron are combined using a symmetric tensor.