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).
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Patent number: 9886037Abstract: 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: GrantFiled: October 28, 2016Date of Patent: February 6, 2018Assignee: IROBOT CORPORATIONInventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
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Publication number: 20170147003Abstract: 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: ApplicationFiled: October 28, 2016Publication date: May 25, 2017Inventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
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Patent number: 9483054Abstract: 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: GrantFiled: July 10, 2015Date of Patent: November 1, 2016Assignee: iRobot CorporationInventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
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Publication number: 20150316930Abstract: 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: ApplicationFiled: July 10, 2015Publication date: November 5, 2015Inventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
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Patent number: 9110470Abstract: 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: GrantFiled: May 6, 2014Date of Patent: August 18, 2015Assignee: iRobot CorporationInventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
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Patent number: 8830091Abstract: 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: GrantFiled: August 12, 2013Date of Patent: September 9, 2014Assignee: iRobot CorporationInventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
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Publication number: 20140244038Abstract: 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: ApplicationFiled: May 6, 2014Publication date: August 28, 2014Applicant: iRobot CorporationInventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
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Publication number: 20130331987Abstract: 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: ApplicationFiled: August 12, 2013Publication date: December 12, 2013Applicant: iRobot CorporationInventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
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Patent number: 8508388Abstract: 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: GrantFiled: September 13, 2012Date of Patent: August 13, 2013Assignee: Irobot CorporationInventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
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Publication number: 20130006420Abstract: 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: ApplicationFiled: September 13, 2012Publication date: January 3, 2013Applicant: Evolution Robotics, Inc.Inventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
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Patent number: 8274406Abstract: 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: GrantFiled: March 15, 2010Date of Patent: September 25, 2012Assignee: Evolution Robotics, Inc.Inventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
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Patent number: 8150650Abstract: 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: GrantFiled: July 26, 2010Date of Patent: April 3, 2012Assignee: Evolution Robotics, Inc.Inventors: Luis Filipe Domingues Goncalves, Enrico Di Bernardo, Paolo Pirjanian, L. Niklas Karlsson
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Patent number: 8095336Abstract: 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: GrantFiled: July 20, 2010Date of Patent: January 10, 2012Assignee: Evolution Robotics, Inc.Inventors: Luis Filipe Domingues Goncalves, Enrico Di Bernardo, Paolo Pirjanian, L. Niklas Karlsson
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Patent number: 8086419Abstract: 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: GrantFiled: July 20, 2010Date of Patent: December 27, 2011Assignee: Evolution Robotics, Inc.Inventors: Luis Filipe Domingues Goncalves, Enrico Di Bernardo, Paolo Pirjanian, L. Niklas Karlsson
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Publication number: 20100286905Abstract: 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: ApplicationFiled: July 26, 2010Publication date: November 11, 2010Applicant: Evolution Robotics, Inc.Inventors: Luis Filipe Domingues Goncalves, Enrico Di Bernardo, Paolo Pirjanian, L. Niklas Karlsson
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Publication number: 20100280754Abstract: 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: ApplicationFiled: July 20, 2010Publication date: November 4, 2010Applicant: Evolution Robotics, Inc.Inventors: Luis Filipe Domingues Goncalves, Enrico Di Bernardo, Paolo Pirjanian, L. Niklas Karlsson
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Publication number: 20100268697Abstract: 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: ApplicationFiled: March 15, 2010Publication date: October 21, 2010Applicant: Evolution Robotics, Inc.Inventors: L. Niklas Karlsson, Paolo Pirjanian, Luis Filipe Domingues Goncalves, Enrico Di Bernardo
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Patent number: 7774158Abstract: 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: GrantFiled: December 17, 2003Date of Patent: August 10, 2010Assignee: Evolution Robotics, Inc.Inventors: Luis Filipe Domingues Goncalves, Enrico Di Bernardo, Paolo Pirjanian, L. Niklas Karlsson
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Patent number: 7573403Abstract: 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: GrantFiled: November 22, 2006Date of Patent: August 11, 2009Assignee: Evolution Robotics, Inc.Inventors: Luis Filipe Domingues Goncalves, L. Niklas Karlsson, Paolo Pirjanian, Enrico Di Bernardo
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Patent number: 7272467Abstract: 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: GrantFiled: December 17, 2003Date of Patent: September 18, 2007Assignee: Evolution Robotics, Inc.Inventors: Luis Filipe Domingues Goncalves, L. Niklas Karlsson, Paolo Pirjanian, Enrico Di Bernardo