Patents by Inventor Diana Vu Le
Diana Vu Le has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11701778Abstract: Systems and methods for robotic path planning are disclosed. In some implementations of the present disclosure, a robot can generate a cost map associated with an environment of the robot. The cost map can comprise a plurality of pixels each corresponding to a location in the environment, where each pixel can have an associated cost. The robot can further generate a plurality of masks having projected path portions for the travel of the robot within the environment, where each mask comprises a plurality of mask pixels that correspond to locations in the environment. The robot can then determine a mask cost associated with each mask based at least in part on the cost map and select a mask based at least in part on the mask cost. Based on the projected path portions within the selected mask, the robot can navigate a space.Type: GrantFiled: January 25, 2021Date of Patent: July 18, 2023Assignee: Brain CorporationInventors: Oleg Sinyavskiy, Jean-Baptiste Passot, Borja Ibarz Gabardos, Diana Vu Le
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Patent number: 11691286Abstract: Systems and methods assisting a robotic apparatus are disclosed. In some exemplary implementations, a robot can encounter situations where the robot cannot proceed and/or does not know with a high degree of certainty it can proceed. Accordingly, the robot can determine that it has encountered an error and/or assist event. In some exemplary implementations, the robot can receive assistance from an operator and/or attempt to resolve the issue itself. In some cases, the robot can be configured to delay actions in order to allow resolution of the error and/or assist event.Type: GrantFiled: June 27, 2019Date of Patent: July 4, 2023Assignee: Brain CorporationInventors: Oleg Sinyavskiy, Jean-Baptiste Passot, Borja Ibarz Gabardos, Diana Vu Le
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Publication number: 20230111047Abstract: Persistent storage contains a training dataset and a test dataset, each with units of text labelled from a plurality of categories. A machine learning model has been trained with the training dataset to classify input units of text into the plurality of categories. One or more processors are configured to: read the training dataset or the test dataset; determine distributional properties of the training dataset or the test dataset; determine, using the machine learning model, saliency maps for tokens in the training dataset or the test dataset; perturb, by way of token insertion, token deletion, or token replacement, the training dataset or the test dataset into an expanded dataset; obtain, using the machine learning model, classifications into the plurality of categories for the expanded dataset; and based on the distributional properties, the saliency maps, and the classifications, identify causes of failure for the machine learning model.Type: ApplicationFiled: October 13, 2021Publication date: April 13, 2023Inventors: Lindsay Devon Brin, Joseph Béchard Marinier, Uyen Diana Vu Le, Christopher John Tyler, Parmida Atighehchian, Gabrielle Gauthier-Melançon, Frédéric Branchaud-Charron, Orlando Marquez Ayala
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Publication number: 20210220995Abstract: Systems and methods for robotic path planning are disclosed. In some implementations of the present disclosure, a robot can generate a cost map associated with an environment of the robot. The cost map can comprise a plurality of pixels each corresponding to a location in the environment, where each pixel can have an associated cost. The robot can further generate a plurality of masks having projected path portions for the travel of the robot within the environment, where each mask comprises a plurality of mask pixels that correspond to locations in the environment. The robot can then determine a mask cost associated with each mask based at least in part on the cost map and select a mask based at least in part on the mask cost. Based on the projected path portions within the selected mask, the robot can navigate a space.Type: ApplicationFiled: January 25, 2021Publication date: July 22, 2021Inventors: Oleg Sinyavskiy, Jean-Baptiste Passot, Borja Ibarz Gabardos, Diana Vu Le
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Patent number: 10899008Abstract: Systems and methods for robotic path planning are disclosed. In some implementations of the present disclosure, a robot can generate a cost map associated with an environment of the robot. The cost map can comprise a plurality of pixels each corresponding to a location in the environment, where each pixel can have an associated cost. The robot can further generate a plurality of masks having projected path portions for the travel of the robot within the environment, where each mask comprises a plurality of mask pixels that correspond to locations in the environment. The robot can then determine a mask cost associated with each mask based at least in part on the cost map and select a mask based at least in part on the mask cost. Based on the projected path portions within the selected mask, the robot can navigate a space.Type: GrantFiled: April 5, 2019Date of Patent: January 26, 2021Assignee: Brain CorporationInventors: Oleg Sinyavskiy, Jean-Baptiste Passot, Borja Ibarz Gabardos, Diana Vu Le
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Publication number: 20190381663Abstract: Systems and methods assisting a robotic apparatus are disclosed. In some exemplary implementations, a robot can encounter situations where the robot cannot proceed and/or does not know with a high degree of certainty it can proceed. Accordingly, the robot can determine that it has encountered an error and/or assist event. In some exemplary implementations, the robot can receive assistance from an operator and/or attempt to resolve the issue itself. In some cases, the robot can be configured to delay actions in order to allow resolution of the error and/or assist event.Type: ApplicationFiled: June 27, 2019Publication date: December 19, 2019Inventors: Oleg Sinyavskiy, Jean-Baptiste Passot, Borja Ibarz Gabardos, Diana Vu Le
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Publication number: 20190299410Abstract: Systems and methods for robotic path planning are disclosed. In some implementations of the present disclosure, a robot can generate a cost map associated with an environment of the robot. The cost map can comprise a plurality of pixels each corresponding to a location in the environment, where each pixel can have an associated cost. The robot can further generate a plurality of masks having projected path portions for the travel of the robot within the environment, where each mask comprises a plurality of mask pixels that correspond to locations in the environment. The robot can then determine a mask cost associated with each mask based at least in part on the cost map and select a mask based at least in part on the mask cost. Based on the projected path portions within the selected mask, the robot can navigate a space.Type: ApplicationFiled: April 5, 2019Publication date: October 3, 2019Inventors: Oleg Sinyavskiy, Jean-Baptiste Passot, Borja Ibarz Gabardos, Diana Vu Le
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Patent number: 10377040Abstract: Systems and methods assisting a robotic apparatus are disclosed. In some exemplary implementations, a robot can encounter situations where the robot cannot proceed and/or does not know with a high degree of certainty it can proceed. Accordingly, the robot can determine that it has encountered an error and/or assist event. In some exemplary implementations, the robot can receive assistance from an operator and/or attempt to resolve the issue itself. In some cases, the robot can be configured to delay actions in order to allow resolution of the error and/or assist event.Type: GrantFiled: February 2, 2017Date of Patent: August 13, 2019Assignee: Brain CorporationInventors: Oleg Sinyavskiy, Jean-Baptiste Passot, Borja Ibarz Gabardos, Diana Vu Le
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Patent number: 10293485Abstract: Systems and methods for robotic path planning are disclosed. In some implementations of the present disclosure, a robot can generate a cost map associated with an environment of the robot. The cost map can comprise a plurality of pixels each corresponding to a location in the environment, where each pixel can have an associated cost. The robot can further generate a plurality of masks having projected path portions for the travel of the robot within the environment, where each mask comprises a plurality of mask pixels that correspond to locations in the environment. The robot can then determine a mask cost associated with each mask based at least in part on the cost map and select a mask based at least in part on the mask cost. Based on the projected path portions within the selected mask, the robot can navigate a space.Type: GrantFiled: March 30, 2017Date of Patent: May 21, 2019Assignee: Brain CorporationInventors: Oleg Sinyavskiy, Jean-Baptiste Passot, Borja Ibarz Gabardos, Diana Vu Le
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Publication number: 20180281191Abstract: Systems and methods for robotic path planning are disclosed. In some implementations of the present disclosure, a robot can generate a cost map associated with an environment of the robot. The cost map can comprise a plurality of pixels each corresponding to a location in the environment, where each pixel can have an associated cost. The robot can further generate a plurality of masks having projected path portions for the travel of the robot within the environment, where each mask comprises a plurality of mask pixels that correspond to locations in the environment. The robot can then determine a mask cost associated with each mask based at least in part on the cost map and select a mask based at least in part on the mask cost. Based on the projected path portions within the selected mask, the robot can navigate a space.Type: ApplicationFiled: March 30, 2017Publication date: October 4, 2018Inventors: Oleg Sinyavskiy, Jean-Baptiste Passot, Borja Ibarz Gabardos, Diana Vu Le
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Publication number: 20180215039Abstract: Systems and methods assisting a robotic apparatus are disclosed. In some exemplary implementations, a robot can encounter situations where the robot cannot proceed and/or does not know with a high degree of certainty it can proceed. Accordingly, the robot can determine that it has encountered an error and/or assist event. In some exemplary implementations, the robot can receive assistance from an operator and/or attempt to resolve the issue itself. In some cases, the robot can be configured to delay actions in order to allow resolution of the error and/or assist event.Type: ApplicationFiled: February 2, 2017Publication date: August 2, 2018Inventors: Oleg Sinyavskiy, Jean-Baptiste Passot, Borja Ibarz Gabardos, Diana Vu Le