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公开(公告)号:US12275156B2
公开(公告)日:2025-04-15
申请号:US17356231
申请日:2021-06-23
Applicant: Intel Corporation
Inventor: Sangeeta Manepalli , Siew Wen Chin
IPC: B25J9/16 , B25J11/00 , B25J13/00 , G06F3/16 , G06V20/10 , G06V20/52 , G06V40/20 , G10L25/57 , H04N23/661 , H04N23/69 , H04N23/695
Abstract: Disclosed herein are systems and methods for controlling a telepresence robot, sometimes referred to as a receiver. The systems and methods may include obtaining environmental data associated with the receiver and/or an operator of the telepresence robot, sometimes referred to as a sender. A model defining a human intent may be received and an intent of a human proximate the receiver and or the sender may be determined using the model. A first signal may be transmitted to the receiver. The first signal may be operative to cause the receiver to alter a first behavior based on the intent of the human and/or the sender.
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公开(公告)号:US20200250003A1
公开(公告)日:2020-08-06
申请号:US16652038
申请日:2018-06-29
Applicant: Intel Corporation
Inventor: Shao-Wen Yang , Yen-Kuang Chen , Ragaad Mohammed Irsehid Altarawneh , Juan Pablo Munoz Chiabrando , Siew Wen Chin , Kushal Datta , Subramanya R. Dulloor , Julio C. Zamora Esquivel , Omar Ulises Florez Choque , Vishakha Gupta , Scott D. Hahn , Rameshkumar Illikkal , Nilesh Kumar Jain , Siti Khairuni Amalina Kamarol , Anil S. Keshavamurthy , Heng Kar Lau , Jonathan A. Lefman , Yiting Liao , Michael G. Millsap , Ibrahima J. Ndiour , Luis Carlos Maria Remis , Addicam V. Sanjay , Usman Sarwar , Eve M. Schooler , Ned M. Smith , Vallabhajosyula S. Somayazulu , Christina R. Strong , Omesh Tickoo , Srenivas Varadarajan , Jesús A. Cruz Vargas , Hassnaa Moustafa , Arun Raghunath , Katalin Klara Bartfai-Walcott , Maruti Gupta Hyde , Deepak S. Vembar , Jessica McCarthy
Abstract: In one embodiment, an apparatus comprises a processor to: identify a workload comprising a plurality of tasks; generate a workload graph based on the workload, wherein the workload graph comprises information associated with the plurality of tasks; identify a device connectivity graph, wherein the device connectivity graph comprises device connectivity information associated with a plurality of processing devices; identify a privacy policy associated with the workload; identify privacy level information associated with the plurality of processing devices; identify a privacy constraint based on the privacy policy and the privacy level information; and determine a workload schedule, wherein the workload schedule comprises a mapping of the workload onto the plurality of processing devices, and wherein the workload schedule is determined based on the privacy constraint, the workload graph, and the device connectivity graph. The apparatus further comprises a communication interface to send the workload schedule to the plurality of processing devices.
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公开(公告)号:US10558862B2
公开(公告)日:2020-02-11
申请号:US15870812
申请日:2018-01-12
Applicant: Intel Corporation
Inventor: Addicam V. Sanjay , Shao-Wen Yang , Siew Wen Chin
Abstract: Localization data is accessed, which is based on information collected by one or more sensor devices deployed within an environment. The localization data identifies presence of a person within a particular location within the environment. A feature vector is access, which includes values to describe a plurality of different physical characteristics of the person as measured by a set of one or more sensor devices deployed within the environment when the person was present within the particular location. An emotion of the person is determined from the feature vector data, and the emotion is associated with the particular location within the environment. An emotion heat map is generated of the environment to map emotional responses determined within the environment to specific locations within the environment.
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公开(公告)号:US10256761B2
公开(公告)日:2019-04-09
申请号:US15253041
申请日:2016-08-31
Applicant: INTEL CORPORATION
Inventor: Hoang Tran Van , Siew Wen Chin , Fatema S. Adenwala , Ravindra V. Narkhede
IPC: H02P23/14 , H02P29/024
Abstract: Techniques for monitoring the health of a device comprising a motor or generator are described. An apparatus to monitor the health of the device includes a plurality of sensors to detect root-mean-square (RMS) current values for a plurality of stator windings of the device. The apparatus also includes a processor to receive the RMS current values from the plurality of sensors and compute a fault indicator based on the RMS current values. The fault indicator represents a level of current imbalance between the plurality of stator windings due to winding faults.
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公开(公告)号:US20190043064A1
公开(公告)日:2019-02-07
申请号:US15939557
申请日:2018-03-29
Applicant: Intel Corporation
Inventor: Siew Wen Chin , Usman Sarwar , Heng Kar Lau , Shao-Wen Yang , Addicam V. Sanjay
IPC: G06Q30/02
Abstract: Monitoring and analyzing people interacting with an environment, e.g., looking around, touching, talking, exclaiming, moving items around, staring at something, walking, as well as producing identifiable physiological and/or movement that may be analyzed to determine a person's interest and/or emotional response to the environment. In a shopping context, analysis may determine customer interest in a specific product. Interest/emotional response may be translated into a quantified review and the reviews may be pushed peer-to-peer to others in the environment, used to update signage, propagated to social media, etc. Reviews may be determined in real time and if related to an unusual or negative review, may trigger one or more various responses, e.g., automatic assistance to clear up a problem, perform other error handling, notify a vendor of a problem, trigger an update such as to lower prices, etc.
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公开(公告)号:US12284576B2
公开(公告)日:2025-04-22
申请号:US17366099
申请日:2021-07-02
Applicant: Intel Corporation
Inventor: Ruchika Chawla Singh , Rita Chattopadhyay , Siew Wen Chin , Sangeeta Manepalli
Abstract: A robot including a resource sharing circuit, configured to operate according to a resource utilization limit, and comprising a processor, configured to receive resource data representing a resource utilization of the robot; if the resource utilization of the robot is within a predetermined range, operate according to a first operational mode, wherein an upper limit of the predetermined range is defined by a tolerance relative to the resource utilization limit; if the resource utilization of the robot is outside of the predetermined range, operate according to a second operational mode; wherein the first operational mode includes controlling a communication circuit to send a first wireless signal representing an availability to accept a task; and wherein the second operational mode includes controlling the communication circuit to send a second wireless signal representing an availability to allocate a task to an external device for remote processing.
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公开(公告)号:US20190102686A1
公开(公告)日:2019-04-04
申请号:US15721283
申请日:2017-09-29
Applicant: Intel Corporation
Inventor: Shao-Wen Yang , Siew Wen Chin , Addicam V. Sanjay , Jose A. Avalos , Joe Jensen , Michael Millsap , Daniel Gutwein
Abstract: A system includes a self-learning module for creating a self-learned planogram based on images of shelving units at a location and shelving unit tracking. The self-learned planogram includes shelving unit locations for the shelving units. The system also includes a training module for training the merchandise tracking model based on merchandise-shelving unit clustering. The merchandise-shelving unit clustering is based on the self-learned planogram and sensor readings received from sensors at the location. The sensor readings are associated with items at the location. The system further includes a tracking module for tracking and storing locations of the items based on the sensor readings and the merchandise tracking model. The system also includes a planogram compliance module for determining planogram compliance based on comparing the self-learned planogram to the item locations. The system identities actionable insights based on the planogram compliance and additionally includes a display device to present the actionable insights.
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公开(公告)号:US20180062553A1
公开(公告)日:2018-03-01
申请号:US15253041
申请日:2016-08-31
Applicant: INTEL CORPORATION
Inventor: Hoang Tran Van , Siew Wen Chin , Fatema S. Adenwala , Ravindra V. Narkhede
IPC: H02P23/14
CPC classification number: H02P23/14 , H02P29/024
Abstract: Techniques for monitoring the health of a device comprising a motor or generator are described. An apparatus to monitor the health of the device includes a plurality of sensors to detect root-mean-square (RMS) current values for a plurality of stator windings of the device. The apparatus also includes a processor to receive the RMS current values from the plurality of sensors and compute a fault indicator based on the RMS current values. The fault indicator represents a level of current imbalance between the plurality of stator windings due to winding faults.
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公开(公告)号:US20240329731A1
公开(公告)日:2024-10-03
申请号:US18129495
申请日:2023-03-31
Applicant: Intel Corporation
Inventor: Aleksander Magi , Glen J. Anderson , Sangeeta Ghangam Manepalli , David Warren Browning , Michael Daniel Rosenzweig , Stanley Jacob Baran , Chia-Hung Sophia Kuo , Passant Vatsalya Karunaratne , Atsuo Kuwahara , Siew Wen Chin , Haichuan Tan
CPC classification number: G06F3/013 , G06T13/40 , G06F2203/011
Abstract: Methods, apparatus, systems, and articles of manufacture for user-to-avatar mapping and adjustment are disclosed. An example apparatus includes processor circuitry to at least one of instantiate or execute the machine readable instructions to: determine a dissonance between a first orientation of a user in a real-world environment and a second orientation of an avatar in a virtual environment, the avatar corresponding to the user; determine an avatar adjustment value based on the dissonance; and apply the avatar adjustment value to the avatar model to change the second orientation.
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公开(公告)号:US20210405632A1
公开(公告)日:2021-12-30
申请号:US17469976
申请日:2021-09-09
Applicant: Intel Corporation
Inventor: Rita Wouhaybi , Sangeeta Manepalli , Siew Wen Chin , Hassnaa Moustafa
IPC: G05B23/02
Abstract: Systems, apparatuses and methods may provide for technology that groups sensor data into a plurality of clusters based on feature similarity, conducts an artificial intelligence (AI) analysis of the plurality of clusters, and detects a data defect based on the AI analysis.
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