Patents Assigned to Trifo, Inc.
  • Patent number: 10571925
    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 performing an area coverage task of an unexplored area. 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: 10496103
    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: December 20, 2018
    Date of Patent: December 3, 2019
    Assignee: Trifo, Inc.
    Inventors: Grace Tsai, Zhe Zhang, Shaoshan Liu
  • Patent number: 10453213
    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: July 12, 2017
    Date of Patent: October 22, 2019
    Assignee: Trifo, Inc.
    Inventors: Grace Tsai, Zhe Zhang, Shaoshan Liu
  • Patent number: 10444761
    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: June 14, 2017
    Date of Patent: October 15, 2019
    Assignee: Trifo, Inc.
    Inventors: Shaoshan Liu, Zhe Zhang, Grace Tsai
  • Patent number: 10423832
    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: April 24, 2018
    Date of Patent: September 24, 2019
    Assignee: Trifo, Inc.
    Inventors: Zhe Zhang, Grace Tsai, Shaoshan Liu
  • Patent number: 10402663
    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 29, 2016
    Date of Patent: September 3, 2019
    Assignee: Trifo, Inc.
    Inventors: Grace Tsai, Shaoshan Liu, Zhe Zhang
  • Patent number: 10395117
    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: March 30, 2018
    Date of Patent: August 27, 2019
    Assignee: Trifo, Inc.
    Inventors: Zhe Zhang, Grace Tsai, Shaoshan Liu