公开(公告)号：US20220193895A1

公开(公告)日：2022-06-23

申请号：US17646689

申请日：2021-12-31

Applicant: Intel Corporation

Inventor： Javier Felip Leon ,  David Israel Gonzalez Aguirre ,  Javier Sebastián Turek ,  Ignacio Javier Alvarez ,  Luis Carlos Maria Remis ,  Justin Gottschlich

IPC: B25J9/16

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for object manipulation via action sequence optimization. An example method disclosed herein includes determining an initial state of a scene, generating a first action phase sequence to transform the initial state of the scene to a solution state of the scene by selecting a plurality of action phases based on action phase probabilities, determining whether a first simulated outcome of executing the first action phase sequence satisfies an acceptability criterion and, when the first simulated outcome does not satisfy the acceptability criterion, calculating a first cost function output based on a difference between the first simulated outcome and the solution state of the scene, the first cost function output utilized to generate updated action phase probabilities.

公开(公告)号：US20210309264A1

公开(公告)日：2021-10-07

申请号：US17134331

申请日：2020-12-26

Applicant: Intel Corporation

Inventor： Javier Felip Leon ,  Nilesh Ahuja ,  Leobardo Campos Macias ,  Rafael De La Guardia Gonzalez ,  David Gomez Gutierrez ,  David Israel Gonzalez Aguirre ,  Anthony Kyung Guzman Leguel ,  Ranganath Krishnan ,  Jose Ignacio Parra Vilchis

IPC: B60W60/00 ,  G05B13/04 ,  G05D1/02 ,  B25J9/16

Abstract: A human-robot collaboration system, including at least one processor; and a non-transitory computer-readable storage medium including instructions that, when executed by the at least one processor, cause the at least one processor to: predict a human atomic action based on a probability density function of possible human atomic actions for performing a predefined task; and plan a motion of the robot based on the predicted human atomic action.

公开(公告)号：US11113960B2

公开(公告)日：2021-09-07

申请号：US15941515

申请日：2018-03-30

Applicant: Intel Corporation

Inventor： Javier Felip Leon ,  Omar Florez ,  David Gonzalez Aguirre ,  Glen J. Anderson

IPC: G08G1/01 ,  G05D1/00 ,  G08G1/00

Abstract: Various systems and methods for implementing intelligent traffic management for vehicle platoons are described herein. A road controller system includes A road controller system comprising: a data store to store an active traffic policy; a processor subsystem to: determine a speed or platoon size of a vehicle platoon traveling on an area controlled by the road controller system; and determine a change to the speed or platoon size of the vehicle platoon, the change based on the active traffic policy; and a transceiver to transmit a control message to the vehicle platoon to implement the change to the speed or platoon size of the vehicle platoon.

公开(公告)号：US20200329386A1

公开(公告)日：2020-10-15

申请号：US16913541

申请日：2020-06-26

Applicant: Intel Corporation

Inventor： Javier Perez-Ramirez ,  Javier Turek ,  David Gonzalez Aguirre ,  Javier Felip Leon ,  Ignacio Alvarez

IPC: H04W24/06 ,  H04W28/02 ,  H04L12/751 ,  H04W36/30

Abstract: Systems, apparatuses and methods may provide for technology that adjusts, via a short-term subsystem, a communications parameter for one or more of wireless communication devices based on data from one or more of a plurality of sensors. The technology may also determine, via a neural network, a prediction of future performance of the wireless network based on a state of the network environment, wherein the state of the network environment includes information from the short-term subsystem and location information about the wireless communication devices and other objects in the environment, and determine a change in network configuration to improve a quality of communications in the wireless network based on the prediction of future performance of the wireless network. The technology may further generate generic path loss models based on time-stamped RSSI maps and record a sequence of events that cause a significant drop in RSSI to determine a change in network configuration.

公开(公告)号：US20200226430A1

公开(公告)日：2020-07-16

申请号：US16830341

申请日：2020-03-26

Applicant: Intel Corporation

Inventor： Nilesh Ahuja ,  Ibrahima Ndiour ,  Javier Felip Leon ,  David Gomez Gutierrez ,  Ranganath Krishnan ,  Mahesh Subedar ,  Omesh Tickoo

IPC: G06K9/62 ,  G06K9/00 ,  G05B13/04 ,  G05B13/02 ,  G06N3/08 ,  G05D1/00 ,  G05D1/02 ,  B60W60/00

Abstract: Vehicle navigation control systems in autonomous driving rely on accurate predictions of objects within the vicinity of the vehicle to appropriately control the vehicle safely through its surrounding environment. Accordingly this disclosure provides methods and devices which implement mechanisms for obtaining contextual variables of the vehicle's environment for use in determining the accuracy of predictions of objects within the vehicle's environment.

公开(公告)号：US20190325108A1

公开(公告)日：2019-10-24

申请号：US16456825

申请日：2019-06-28

Applicant: Intel Corporation

Inventor： Javier Sebastián Turek ,  Javier Felip Leon ,  Alexander Heinecke ,  Evangelos Georganas ,  Luis Carlos Maria Remis ,  Ignacio Javier Alvarez ,  David Israel Gonzalez Aguirre ,  Shengtian Zhou ,  Justin Gottschlich

IPC: G06F17/50 ,  G06N3/08 ,  G06N3/04

Abstract: Systems and methods for determining a configuration for a microarchitecture are described herein. An example system includes a proposal generator to generate a first candidate configuration of parameters for the microarchitecture, a machine learning model to process the first candidate configuration of parameters to output estimated performance indicators for the microarchitecture, an uncertainty checker to determine whether the estimated performance indicators are reliable, and a performance checker. In response to a determination that the estimated performance indicators are reliable, the performance checker is to determine whether the estimated performance indicators have improved toward a target. Further, if the estimated performance indicators have improved, the performance checker is to store the first candidate configuration of parameters in a memory as a potential solution for a microarchitecture without performing a full simulation on the first candidate configuration of parameters.

公开(公告)号：US20190317455A1

公开(公告)日：2019-10-17

申请号：US16456957

申请日：2019-06-28

Applicant: Intel Corporation

Inventor： Javier Felip Leon ,  Javier Sebastian Turek ,  David I. Gonzalez Aguirre ,  Ignacio Javier Alvarez ,  Luis Carlos Maria Remis ,  Justin Gottschlich

IPC: G05B13/02 ,  G05B13/04 ,  G06N3/08 ,  G06N20/00

Abstract: Apparatus, systems, articles of manufacture, and methods to generate acceptability criteria for autonomous systems plans are disclosed. An example apparatus includes a data compiler to compile data generated by the autonomous system into an autonomous system task dataset, a data encoder to encode the dataset for input into a rule distillation neural network architecture, a model trainer to train the rule distillation neural network architecture, an adaptor to adapt the trained rule distillation neural network architecture to a new input data domain using the autonomous system task dataset, a verifier to generate formally verified acceptability criteria, and an inferer to evaluate a control command, the evaluation resulting in an acceptance or rejection of the command.

公开(公告)号：US20190197029A1

公开(公告)日：2019-06-27

申请号：US16326878

申请日：2016-12-22

Applicant: Intel Corporation

Inventor： David I. Gonzalez Aguirre ,  Ignacio J. Alvarez ,  Javier Felip Leon

IPC: G06F16/22 ,  G06F16/23

CPC classification number: G06F16/2264 ,  G06F16/2246 ,  G06F16/2365 ,  G06F16/2477

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to improve spatial-temporal data management. An example apparatus includes a hypervoxel data structure generator to generate a root hexatree data structure having sixteen hypernodes, an octree manager to improve a spatiotemporal data access efficiency by generating a first degree of symmetry in the root hexatree, the octree manager to assign a first portion of the hypernodes to a positive temporal subspace and to assign a second portion of the hypernodes to a negative temporal subspace, and a quadtree manager to improve the spatiotemporal data access efficiency by generating a second degree of symmetry in the root hexatree, the quadtree manager to assign respective hypernodes of the positive temporal subspace and the negative temporal subspace to respective positive and negative spatial subspaces.

公开(公告)号：US20190135300A1

公开(公告)日：2019-05-09

申请号：US16235917

申请日：2018-12-28

Applicant: Intel Corporation

Inventor： David I. Gonzalez Aguirre ,  Sridhar G. Sharma ,  Javier Felip Leon ,  Javier S. Turek ,  Maria Soledad Elli

IPC: B60W50/02 ,  G05D1/00 ,  G06N3/08 ,  G06N20/00

Abstract: An example includes obtaining first sensor data from a first sensor and second sensor data from a second sensor, the first sensor of a first sensor type different than a second sensor type of the second sensor; generating first encoded sensor data based on the first sensor data and second encoded sensor data based on the second sensor data; generating a contextual fused sensor data representation of the first and second sensor data based on the first and second encoded sensor data; generating first and second reconstructed sensor data based on the contextual fused sensor data representation; determining a deviation estimation based on the first and second reconstructed sensor data, the deviation estimation representative of a deviation between: (a) the first reconstructed sensor data, and (b) the first sensor data; and detecting an anomaly in the deviation estimation, the anomaly indicative of an error associated with the first sensor.

公开(公告)号：US10204422B2

公开(公告)日：2019-02-12

申请号：US15412853

申请日：2017-01-23

Applicant: Intel Corporation

Inventor： David I. Gonzalez Aguirre ,  Javier Felip Leon ,  Ignacio J. Alvarez

IPC: G06T17/20 ,  G06T7/50 ,  G06T17/00

Abstract: An example system for generating a three dimensional (3D) model includes a receiver to receive a single two dimensional (2D) image of an object to be modeled. The system includes a segment extractor to extract a binary segment, a textured segment, and a segment characterization based on the single 2D image. The system further includes a skeleton cue extractor to generate a medial-axis transform (MAT) approximation based on the binary segment and the segment characterization and extract a skeleton cue and a regression cue from the MAT approximation. The system also includes a contour generator to generate a contour based on the binary segment and the regression cue. The system can also further include a 3D model generator to generate a 3D model based on the contour and the skeleton cue.