Patents by Inventor L. Niklas Karlsson

L. Niklas Karlsson 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: 9886037
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Grant
    Filed: October 28, 2016
    Date of Patent: February 6, 2018
    Assignee: IROBOT CORPORATION
    Inventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
  • Publication number: 20170147003
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Application
    Filed: October 28, 2016
    Publication date: May 25, 2017
    Inventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
  • Patent number: 9483054
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Grant
    Filed: July 10, 2015
    Date of Patent: November 1, 2016
    Assignee: iRobot Corporation
    Inventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
  • Publication number: 20150316930
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Application
    Filed: July 10, 2015
    Publication date: November 5, 2015
    Inventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
  • Patent number: 9110470
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Grant
    Filed: May 6, 2014
    Date of Patent: August 18, 2015
    Assignee: iRobot Corporation
    Inventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
  • Patent number: 8830091
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Grant
    Filed: August 12, 2013
    Date of Patent: September 9, 2014
    Assignee: iRobot Corporation
    Inventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
  • Publication number: 20140244038
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Application
    Filed: May 6, 2014
    Publication date: August 28, 2014
    Applicant: iRobot Corporation
    Inventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
  • Publication number: 20130331987
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Application
    Filed: August 12, 2013
    Publication date: December 12, 2013
    Applicant: iRobot Corporation
    Inventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
  • Patent number: 8508388
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Grant
    Filed: September 13, 2012
    Date of Patent: August 13, 2013
    Assignee: Irobot Corporation
    Inventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
  • Publication number: 20130006420
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Application
    Filed: September 13, 2012
    Publication date: January 3, 2013
    Applicant: Evolution Robotics, Inc.
    Inventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
  • Patent number: 8274406
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Grant
    Filed: March 15, 2010
    Date of Patent: September 25, 2012
    Assignee: Evolution Robotics, Inc.
    Inventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
  • Patent number: 8150650
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Grant
    Filed: July 26, 2010
    Date of Patent: April 3, 2012
    Assignee: Evolution Robotics, Inc.
    Inventors: Luis Filipe Domingues Goncalves, Enrico Di Bernardo, Paolo Pirjanian, L. Niklas Karlsson
  • Patent number: 8095336
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. One embodiment maintains the particles, thereby permitting the SLAM processes to be performed in software using microprocessor-based computer systems.
    Type: Grant
    Filed: July 20, 2010
    Date of Patent: January 10, 2012
    Assignee: Evolution Robotics, Inc.
    Inventors: Luis Filipe Domingues Goncalves, Enrico Di Bernardo, Paolo Pirjanian, L. Niklas Karlsson
  • Patent number: 8086419
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. One embodiment maintains the particles, thereby permitting the SLAM processes to be performed in software using microprocessor-based computer systems.
    Type: Grant
    Filed: July 20, 2010
    Date of Patent: December 27, 2011
    Assignee: Evolution Robotics, Inc.
    Inventors: Luis Filipe Domingues Goncalves, Enrico Di Bernardo, Paolo Pirjanian, L. Niklas Karlsson
  • Publication number: 20100286905
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Application
    Filed: July 26, 2010
    Publication date: November 11, 2010
    Applicant: Evolution Robotics, Inc.
    Inventors: Luis Filipe Domingues Goncalves, Enrico Di Bernardo, Paolo Pirjanian, L. Niklas Karlsson
  • Publication number: 20100280754
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Application
    Filed: July 20, 2010
    Publication date: November 4, 2010
    Applicant: Evolution Robotics, Inc.
    Inventors: Luis Filipe Domingues Goncalves, Enrico Di Bernardo, Paolo Pirjanian, L. Niklas Karlsson
  • Publication number: 20100268697
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Application
    Filed: March 15, 2010
    Publication date: October 21, 2010
    Applicant: Evolution Robotics, Inc.
    Inventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
  • Patent number: 7774158
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Grant
    Filed: December 17, 2003
    Date of Patent: August 10, 2010
    Assignee: Evolution Robotics, Inc.
    Inventors: Luis Filipe Domingues Goncalves, Enrico Di Bernardo, Paolo Pirjanian, L. Niklas Karlsson
  • Patent number: 7573403
    Abstract: The invention is related to methods and apparatus that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Grant
    Filed: November 22, 2006
    Date of Patent: August 11, 2009
    Assignee: Evolution Robotics, Inc.
    Inventors: Luis Filipe Domingues Goncalves, L. Niklas Karlsson, Paolo Pirjanian, Enrico Di Bernardo
  • Patent number: 7272467
    Abstract: Apparatus and methods that use a visual sensor and dead reckoning sensors to process Simultaneous Localization and Mapping (SLAM). These techniques can be used in robot navigation. Advantageously, such visual techniques can be used to autonomously generate and update a map. Unlike with laser rangefinders, the visual techniques are economically practical in a wide range of applications and can be used in relatively dynamic environments, such as environments in which people move. One embodiment further advantageously uses multiple particles to maintain multiple hypotheses with respect to localization and mapping. Further advantageously, one embodiment maintains the particles in a relatively computationally-efficient manner, thereby permitting the SLAM processes to be performed in software using relatively inexpensive microprocessor-based computer systems.
    Type: Grant
    Filed: December 17, 2003
    Date of Patent: September 18, 2007
    Assignee: Evolution Robotics, Inc.
    Inventors: Luis Filipe Domingues Goncalves, L. Niklas Karlsson, Paolo Pirjanian, Enrico Di Bernardo