Patents by Inventor Mark Wildie

Mark Wildie 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).

  • Publication number: 20210272086
    Abstract: A case with an integrated or attached credential reader; when a user presents a valid credential (such as a biometric identity like a fingerprint, handprint, or face), the case is unlocked and the user can take items from the case. Sensors in the case such as cameras and weight sensors detect items taken by the user; these are automatically charged to the user or added to the user's shopping cart. The credential reader may be on a door handle so that as the user reaches for the handle the credential is automatically captured. The entire shopping experience may be quick and seamless since the user's credential may be captured automatically and the items the user takes may be accounted for automatically. Embodiments may have a door that opens automatically when the credential is accepted and closes and locks automatically when sensors detect that the user has retracted from the case.
    Type: Application
    Filed: May 19, 2021
    Publication date: September 2, 2021
    Applicant: ACCEL ROBOTICS CORPORATION
    Inventors: Marius BUIBAS, John QUINN, Aleksander BAPST, Rahman KHORSANDI, Neil SHAH, Mark WILDIE, Soheyl YOUSEFISAHI
  • Publication number: 20210158430
    Abstract: An automated store that calculates a confidence score for virtual shopping carts of shoppers, and selects carts for manual review based on these scores. Carts with low confidence scores may be more likely to contain errors, so prioritizing manual review of these carts is a cost-effective method of improving overall accuracy. A cart confidence score may be a function of factors such as confidence in the trajectory of the shopper generated by the store tracking system, confidence in the events (such as taking an item from a shelf) that affect the cart, and confidence that events are attributed to the correct shopper. Situations that make tracking, item identification, or attribution more complex may reduce confidence levels. For example, attribution confidence may be low when multiple shoppers are near an event, and item confidence may be low if the probabilistic classifier that identifies the item assigns nontrivial probabilities to multiple items.
    Type: Application
    Filed: January 12, 2021
    Publication date: May 27, 2021
    Applicant: ACCEL ROBOTICS CORPORATION
    Inventors: Marius BUIBAS, John QUINN, Aleksander BAPST, Rahman KHORSANDI, Neil SHAH, Jacob VAN DRUNEN, Mark WILDIE, Soheyl YOUSEFISAHI
  • Patent number: 9821457
    Abstract: Apparatus and methods for training of robotic devices. A robot may be trained by a user guiding the robot along target trajectory using a control signal. A robot may comprise an adaptive controller. The controller may be configured to generate control commands based on the user guidance, sensory input and a performance measure. A user may interface to the robot via an adaptively configured remote controller. The remote controller may comprise a mobile device, configured by the user in accordance with phenotype and/or operational configuration of the robot. The remote controller may detect changes in the robot phenotype and/or operational configuration. User interface of the remote controller may be reconfigured based on the detected phenotype and/or operational changes.
    Type: Grant
    Filed: January 12, 2015
    Date of Patent: November 21, 2017
    Assignee: Brain Corporation
    Inventors: Patryk Laurent, Jean-Baptiste Passot, Mark Wildie, Eugene M. Izhikevich, Vadim Polonichko
  • Patent number: 9242372
    Abstract: Apparatus and methods for training of robotic devices. A robot may be trained by a user guiding the robot along target trajectory using a control signal. A robot may comprise an adaptive controller. The controller may be configured to generate control commands based on the user guidance, sensory input and a performance measure. A user may interface to the robot via an adaptively configured remote controller. The remote controller may comprise a mobile device, configured by the user in accordance with phenotype and/or operational configuration of the robot. The remote controller may detect changes in the robot phenotype and/or operational configuration. User interface of the remote controller may be reconfigured based on the detected phenotype and/or operational changes.
    Type: Grant
    Filed: May 31, 2013
    Date of Patent: January 26, 2016
    Assignee: Brain Corporation
    Inventors: Patryk Laurent, Jean-Baptiste Passot, Mark Wildie, Eugene M. Izhikevich
  • Publication number: 20140358284
    Abstract: Apparatus and methods for training of robotic devices. A robot may be trained by a user guiding the robot along target trajectory using a control signal. A robot may comprise an adaptive controller. The controller may be configured to generate control commands based on the user guidance, sensory input and a performance measure. A user may interface to the robot via an adaptively configured remote controller. The remote controller may comprise a mobile device, configured by the user in accordance with phenotype and/or operational configuration of the robot. The remote controller may detect changes in the robot phenotype and/or operational configuration. User interface of the remote controller may be reconfigured based on the detected phenotype and/or operational changes.
    Type: Application
    Filed: May 31, 2013
    Publication date: December 4, 2014
    Inventors: Patryk Laurent, Jean-Baptiste Passot, Mark Wildie, Eugene M. Izhikevich