Patents by Inventor Botond Szatmary

Botond Szatmary 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).

  • Patent number: 12072714
    Abstract: Systems and methods for detection of features within data collected by a plurality of robots by a centralized server are disclosed herein. According to at least one non-limiting exemplary embodiment, a plurality of robots may be utilized to collect a substantial amount of feature data using one or more sensors coupled thereto, wherein use of the plurality of robots to collect the feature data yields accurate localization of the feature data and consistent acquisition of the feature data. Systems and methods disclosed herein further enable a cloud server to identify a substantial number of features within the acquired feature data for purposes of generating insights. The substantial number of features far exceed a practical number of features of which a single neural network may be trained to identify.
    Type: Grant
    Filed: January 11, 2021
    Date of Patent: August 27, 2024
    Assignee: Brain Corporation
    Inventors: David Ross, Botond Szatmary
  • Publication number: 20240281003
    Abstract: Systems and methods for enhancing task performance and computer readable maps produced by robots using modular sensors is disclosed herein. According to at least one non-limiting exemplary embodiment, robots may perform a first set of tasks, wherein coupling one or more modular sensors to the robots may configure a robot to perform a second set of tasks, the second set of tasks includes the first set of tasks and at least one additional task.
    Type: Application
    Filed: February 5, 2024
    Publication date: August 22, 2024
    Inventors: Botond Szatmary, David Ross
  • Patent number: 11940805
    Abstract: Systems and methods for enhancing task performance and computer readable maps produced by robots using modular sensors is disclosed herein. According to at least one non-limiting exemplary embodiment, robots may perform a first set of tasks, wherein coupling one or more modular sensors to the robots may configure a robot to perform a second set of tasks, the second set of tasks includes the first set of tasks and at least one additional task.
    Type: Grant
    Filed: May 6, 2021
    Date of Patent: March 26, 2024
    Assignee: Brain Corporation
    Inventors: Botond Szatmary, David Ross
  • Publication number: 20230168689
    Abstract: Systems and methods for data and confidentiality preservation for feature identification by robotic devices are disclosed herein. According to at least one non-limiting exemplary embodiment, a method for determining if an image depicts a human is disclosed. The determination may be utilized to either (i) censor the face of the human, or (ii) identify features within the image. The determination enhances feature identification by ensuring only uncensored and unobscured images are provided to one or more models for the identification to preserve human confidentiality.
    Type: Application
    Filed: January 25, 2023
    Publication date: June 1, 2023
    Inventors: Botond Szatmary, David Ross
  • Publication number: 20230042650
    Abstract: Systems and methods for robotic disinfection and sanitation of environments are disclosed herein. The robotic devices disclosed herein may detect and map locations of pathogens within environments. The robotic devices disclosed herein may utilize data from sensor units to sanitize objects using desired methods specified by operators. The robotic devices disclosed herein may sanitize environments comprising people.
    Type: Application
    Filed: September 28, 2022
    Publication date: February 9, 2023
    Inventors: David Ross, Botond Szatmary, Louis Gonzalez
  • Publication number: 20230021778
    Abstract: Systems and methods for training a robot to autonomously travel a route. In one embodiment, a robot can detect an initial placement in an initialization location. Beginning from the initialization location, the robot can create a map of a navigable route and surrounding environment during a user-controlled demonstration of the navigable route. After the demonstration, the robot can later detect a second placement in the initialization location, and then autonomously navigate the navigable route. The robot can then subsequently detect errors associated with the created map. Methods and systems associated with the robot are also disclosed.
    Type: Application
    Filed: October 7, 2022
    Publication date: January 26, 2023
    Inventors: Jean-Baptiste Passot, Andrew Smith, Botond Szatmary, Borja Ibarz Gabardos, Cody Griffin, Jaldert Rombouts, Oleg Sinyavskiy, Eugene Izhikevich
  • Patent number: 11467602
    Abstract: Systems and methods for training a robot to autonomously travel a route. In one embodiment, a robot can detect an initial placement in an initialization location. Beginning from the initialization location, the robot can create a map of a navigable route and surrounding environment during a user-controlled demonstration of the navigable route. After the demonstration, the robot can later detect a second placement in the initialization location, and then autonomously navigate the navigable route. The robot can then subsequently detect errors associated with the created map. Methods and systems associated with the robot are also disclosed.
    Type: Grant
    Filed: October 23, 2018
    Date of Patent: October 11, 2022
    Assignee: Brain Corporation
    Inventors: Jean-Baptiste Passot, Andrew Smith, Botond Szatmary, Borja Ibarz Gabardos, Cody Griffin, Jaldert Rombouts, Oleg Sinyavskiy, Eugene Izhikevich
  • Publication number: 20220269943
    Abstract: Systems and methods for training neural networks on a cloud server using sensory data collected by plurality of robots is disclosed herein. The model may be derived from one or more trained neural networks, the neural networks being trained using data collected by one or more robots. Advantageously, data collection by robots may enhance consistency, reliability, and quality of data received for use in training one or more neural networks. The model may be utilized by robots, upon sufficient training of the neural networks, such that the robots may identify features within their environments. Advantageously, the model may be trained on a cloud server and utilized by individual robots for use in enhancing autonomy of the robots, wherein the utilization of the model requires significantly fewer computational resources than training of the neural networks to develop the model.
    Type: Application
    Filed: May 16, 2022
    Publication date: August 25, 2022
    Inventors: Botond Szatmary, David Ross
  • Patent number: 11363929
    Abstract: Apparatus and methods for training and operating of robotic appliances. Robotic appliance may be operable to clean user premises. The user may train the appliance to perform cleaning operations in constrained areas. The appliance may be configured to clean other area of the premises automatically. The appliance may perform premises exploration and/or determine map of the premises. The appliance may be provided priority information associated with areas of the premises. The appliance may perform cleaning operations in order of the priority. Robotic vacuum cleaner appliance may be configured for safe cable operation wherein the controller may determine one or more potential obstructions (e.g., a cable) along operating trajectory. Upon approaching the cable, the controller may temporarily disable brushing mechanism in order to prevent cable damage.
    Type: Grant
    Filed: June 27, 2019
    Date of Patent: June 21, 2022
    Assignee: Brain Corporation
    Inventors: Botond Szatmary, Vadim Polonichko
  • Publication number: 20220155407
    Abstract: Systems and methods for localizing devices using network signatures and coverage maps measured by robots are disclosed herein. According to at least one non-limiting exemplary embodiment, a robot may generate a coverage map based on measurements collected during operation of the robot. The coverage map generated by the robot may be temporally accurate such that a device may be localized within the coverage map based on a received network signature from the device. The network signature comprising a measure of amplitudes of Wi-Fi networks and/or cellular networks at a point within an environment of the coverage map.
    Type: Application
    Filed: February 3, 2022
    Publication date: May 19, 2022
    Inventors: David Ross, Botond Szatmary
  • Publication number: 20220122157
    Abstract: Systems and methods for detection of features within data collected by a plurality of robots by a centralized server are disclosed herein. According to at least one non-limiting exemplary embodiment, a plurality of robots may be utilized to collect a substantial amount of feature data using one or more sensors coupled thereto, wherein use of the plurality of robots to collect the feature data yields accurate localization of the feature data and consistent acquisition of the feature data. Systems and methods disclosed herein further enable a cloud server to identify a substantial number of features within the acquired feature data for purposes of generating insights. The substantial number of features far exceed a practical number of features of which a single neural network may be trained to identify.
    Type: Application
    Filed: December 28, 2021
    Publication date: April 21, 2022
    Inventors: David Ross, Botond Szatmary
  • Publication number: 20220039625
    Abstract: Systems, apparatuses, and methods for a distributed network of data collection and insight generation by server are disclosed herein. According to at least one non-limiting exemplary embodiment, the server may be configured to receive data from a network of data sources, receive an application from an application creator, and execute the application based on the data from the network of data sources to generate at least one insight, wherein the network of data sources may comprise mobile robots, stationary devices, IoT (Internet of Things) devices, and/or public data sources. The at least one insight may be utilized by robots to improve efficiency of operation or by humans to gain useful insights to the environment in which the data sources operate.
    Type: Application
    Filed: September 30, 2021
    Publication date: February 10, 2022
    Inventors: Botond Szatmary, David Ross
  • Publication number: 20210349471
    Abstract: Systems and methods for enhancing task performance and computer readable maps produced by robots using modular sensors is disclosed herein. According to at least one non-limiting exemplary embodiment, robots may perform a first set of tasks, wherein coupling one or more modular sensors to the robots may configure a robot to perform a second set of tasks, the second set of tasks includes the first set of tasks and at least one additional task.
    Type: Application
    Filed: May 6, 2021
    Publication date: November 11, 2021
    Inventors: David Ross, Botond Szatmary
  • Publication number: 20210213616
    Abstract: Systems and methods for detection of features within data collected by a plurality of robots by a centralized server are disclosed herein. According to at least one non-limiting exemplary embodiment, a plurality of robots may be utilized to collect a substantial amount of feature data using one or more sensors coupled thereto, wherein use of the plurality of robots to collect the feature data yields accurate localization of the feature data and consistent acquisition of the feature data. Systems and methods disclosed herein further enable a cloud server to identify a substantial number of features within the acquired feature data for purposes of generating insights. The substantial number of features far exceed a practical number of features of which a single neural network may be trained to identify.
    Type: Application
    Filed: January 11, 2021
    Publication date: July 15, 2021
    Inventors: David Ross, Botond Szatmary
  • Patent number: 10807230
    Abstract: Apparatus and methods for navigation of a robotic device configured to operate in an environment comprising objects and/or persons. Location of objects and/or persons may change prior and/or during operation of the robot. In one embodiment, a bistatic sensor comprises a transmitter and a receiver. The receiver may be spatially displaced from the transmitter. The transmitter may project a pattern on a surface in the direction of robot movement. In one variant, the pattern comprises an encoded portion and an information portion. The information portion may be used to communicate information related to robot movement to one or more persons. The encoded portion may be used to determine presence of one or more object in the path of the robot. The receiver may sample a reflected pattern and compare it with the transmitted pattern. Based on a similarity measure breaching a threshold, indication of object present may be produced.
    Type: Grant
    Filed: January 22, 2018
    Date of Patent: October 20, 2020
    Assignee: Brain Corporation
    Inventors: Botond Szatmary, Micah Richert
  • Publication number: 20200073401
    Abstract: A system for controlling movement of a device comprises at least one processor configured to receive a first input from a sensor upon detection of an obstacle in a first region of the device and a different second input from the sensor upon detection of the object in a different second region of the device and further configured to transmit a first signal to at least one actuator upon receiving the first input from the sensor, the first signal including a strength of first value and transmit a second signal upon receiving the second input from the sensor, the second value being greater than the first value.
    Type: Application
    Filed: November 11, 2019
    Publication date: March 5, 2020
    Inventors: Botond Szatmary, Micah Richert, Jean-Baptiste Passot, John Black, Oliver Martin
  • Publication number: 20190380551
    Abstract: Apparatus and methods for training and operating of robotic appliances. Robotic appliance may be operable to clean user premises. The user may train the appliance to perform cleaning operations in constrained areas. The appliance may be configured to clean other area of the premises automatically. The appliance may perform premises exploration and/or determine map of the premises. The appliance may be provided priority information associated with areas of the premises. The appliance may perform cleaning operations in order of the priority. Robotic vacuum cleaner appliance may be configured for safe cable operation wherein the controller may determine one or more potential obstructions (e.g., a cable) along operating trajectory. Upon approaching the cable, the controller may temporarily disable brushing mechanism in order to prevent cable damage.
    Type: Application
    Filed: June 27, 2019
    Publication date: December 19, 2019
    Inventors: Botond Szatmary, Vadim Polonichko
  • Patent number: 10376117
    Abstract: Apparatus and methods for training and operating of robotic appliances. Robotic appliance may be operable to clean user premises. The user may train the appliance to perform cleaning operations in constrained areas. The appliance may be configured to clean other area of the premises automatically. The appliance may perform premises exploration and/or determine map of the premises. The appliance may be provided priority information associated with areas of the premises. The appliance may perform cleaning operations in order of the priority. Robotic vacuum cleaner appliance may be configured for safe cable operation wherein the controller may determine one or more potential obstructions (e.g., a cable) along operating trajectory. Upon approaching the cable, the controller may temporarily disable brushing mechanism in order to prevent cable damage.
    Type: Grant
    Filed: July 31, 2017
    Date of Patent: August 13, 2019
    Assignee: Brain Corporation
    Inventors: Botond Szatmary, Vadim Polonichko
  • Publication number: 20190121365
    Abstract: Systems and methods for training a robot to autonomously travel a route. In one embodiment, a robot can detect an initial placement in an initialization location. Beginning from the initialization location, the robot can create a map of a navigable route and surrounding environment during a user-controlled demonstration of the navigable route. After the demonstration, the robot can later detect a second placement in the initialization location, and then autonomously navigate the navigable route. The robot can then subsequently detect errors associated with the created map. Methods and systems associated with the robot are also disclosed.
    Type: Application
    Filed: October 23, 2018
    Publication date: April 25, 2019
    Inventors: Jean-Baptiste Passot, Andrew Smith, Botond Szatmary, Borja Ibarz Gabardos, Cody Griffin, Jaldert Rambouts, Oleg Sinyavskiy, Eugene Izhikevich
  • Patent number: 10210452
    Abstract: Apparatus and methods for high-level neuromorphic network description (HLND) framework that may be configured to enable users to define neuromorphic network architectures using a unified and unambiguous representation that is both human-readable and machine-interpretable. The framework may be used to define nodes types, node-to-node connection types, instantiate node instances for different node types, and to generate instances of connection types between these nodes. To facilitate framework usage, the HLND format may provide the flexibility required by computational neuroscientists and, at the same time, provides a user-friendly interface for users with limited experience in modeling neurons. The HLND kernel may comprise an interface to Elementary Network Description (END) that is optimized for efficient representation of neuronal systems in hardware-independent manner and enables seamless translation of HLND model description into hardware instructions for execution by various processing modules.
    Type: Grant
    Filed: March 15, 2012
    Date of Patent: February 19, 2019
    Assignee: QUALCOMM Incorporated
    Inventors: Botond Szatmary, Eugene M. Izhikevich, Csaba Petre, Jayram Moorkanikara Nageswaran, Filip Piekniewski