Patents Assigned to Trifo, Inc.
  • Patent number: 11126196
    Abstract: The described positional awareness techniques employing sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy. The sensory data are gathered from an operational camera and one or more auxiliary sensors.
    Type: Grant
    Filed: October 9, 2019
    Date of Patent: September 21, 2021
    Assignee: Trifo, Inc.
    Inventors: Zhe Zhang, Grace Tsai, Shaoshan Liu
  • Publication number: 20210240198
    Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.
    Type: Application
    Filed: April 19, 2021
    Publication date: August 5, 2021
    Applicant: Trifo, Inc.
    Inventors: Grace TSAI, Zhe ZHANG, Shaoshan LIU
  • Publication number: 20210192774
    Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.
    Type: Application
    Filed: March 5, 2021
    Publication date: June 24, 2021
    Applicant: Trifo, Inc.
    Inventors: Grace TSAI, Zhe ZHANG, Shaoshan LIU
  • Publication number: 20210174097
    Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.
    Type: Application
    Filed: February 22, 2021
    Publication date: June 10, 2021
    Applicant: Trifo, Inc.
    Inventors: Grace TSAI, Shaoshan LIU, Zhe ZHANG
  • Patent number: 10983527
    Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.
    Type: Grant
    Filed: November 26, 2019
    Date of Patent: April 20, 2021
    Assignee: Trifo, Inc.
    Inventors: Grace Tsai, Zhe Zhang, Shaoshan Liu
  • Patent number: 10943361
    Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.
    Type: Grant
    Filed: October 17, 2019
    Date of Patent: March 9, 2021
    Assignee: Trifo, Inc.
    Inventors: Grace Tsai, Zhe Zhang, Shaoshan Liu
  • Patent number: 10929690
    Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.
    Type: Grant
    Filed: August 27, 2019
    Date of Patent: February 23, 2021
    Assignee: Trifo, Inc.
    Inventors: Grace Tsai, Shaoshan Liu, Zhe Zhang
  • Publication number: 20210019527
    Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.
    Type: Application
    Filed: September 30, 2020
    Publication date: January 21, 2021
    Applicant: Trifo, Inc.
    Inventors: Zhe ZHANG, Grace TSAI, Shaoshan LIU
  • Publication number: 20200394410
    Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.
    Type: Application
    Filed: August 31, 2020
    Publication date: December 17, 2020
    Applicant: Trifo, Inc.
    Inventors: Zhe ZHANG, Grace TSAI, Shaoshan LIU
  • Patent number: 10832056
    Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.
    Type: Grant
    Filed: September 20, 2019
    Date of Patent: November 10, 2020
    Assignee: Trifo, Inc.
    Inventors: Zhe Zhang, Grace Tsai, Shaoshan Liu
  • Patent number: 10769440
    Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.
    Type: Grant
    Filed: August 23, 2019
    Date of Patent: September 8, 2020
    Assignee: Trifo, Inc.
    Inventors: Zhe Zhang, Grace Tsai, Shaoshan Liu
  • Publication number: 20200192388
    Abstract: The described positional awareness techniques employing sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to find new area to cover by a robot encountering an unexpected obstacle traversing an area in which the robot is performing an area coverage task. The sensory data are gathered from an operational camera and one or more auxiliary sensors.
    Type: Application
    Filed: February 21, 2020
    Publication date: June 18, 2020
    Applicant: Trifo, Inc.
    Inventors: Zhe ZHANG, Weikai LI, Qingyu CHEN, Yen-Cheng LIU
  • Publication number: 20200166944
    Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.
    Type: Application
    Filed: November 26, 2019
    Publication date: May 28, 2020
    Applicant: Trifo, Inc.
    Inventors: Grace TSAI, Zhe ZHANG, Shaoshan LIU
  • Publication number: 20200159242
    Abstract: The described positional awareness techniques employing sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy. The sensory data are gathered from an operational camera and one or more auxiliary sensors.
    Type: Application
    Filed: October 9, 2019
    Publication date: May 21, 2020
    Applicant: Trifo, Inc.
    Inventors: Shaoshan LIU, Zhe ZHANG, Grace TSAI
  • Publication number: 20200151898
    Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.
    Type: Application
    Filed: October 17, 2019
    Publication date: May 14, 2020
    Applicant: Trifo, Inc.
    Inventors: Grace TSAI, Zhe ZHANG, Shaoshan LIU
  • Patent number: 10571926
    Abstract: The described positional awareness techniques employing sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to find new area to cover by a robot encountering an unexpected obstacle traversing an area in which the robot is performing an area coverage task. The sensory data are gathered from an operational camera and one or more auxiliary sensors.
    Type: Grant
    Filed: November 20, 2018
    Date of Patent: February 25, 2020
    Assignee: Trifo, Inc.
    Inventors: Zhe Zhang, Weikai Li, Qingyu Chen, Yen-Cheng Liu
  • Patent number: D886694
    Type: Grant
    Filed: August 11, 2017
    Date of Patent: June 9, 2020
    Assignee: TRIFO, INC.
    Inventors: Shaoshan Liu, Zhe Zhang
  • Patent number: D924506
    Type: Grant
    Filed: May 30, 2019
    Date of Patent: July 6, 2021
    Assignee: TRIFO, INC.
    Inventors: Zhe Zhang, Zhongwei Li
  • Patent number: D924507
    Type: Grant
    Filed: May 30, 2019
    Date of Patent: July 6, 2021
    Assignee: Trifo, Inc.
    Inventors: Zhe Zhang, Zhongwei Li
  • Patent number: D924508
    Type: Grant
    Filed: May 30, 2019
    Date of Patent: July 6, 2021
    Assignee: Trifo, Inc.
    Inventors: Zhe Zhang, Zhongwei Li