Patents by Inventor Lukas Fath

Lukas Fath 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: 11561102
    Abstract: Provided is a process that includes: obtaining a first version of a map of a workspace; selecting a first undiscovered area of the workspace; in response to selecting the first undiscovered area, causing the robot to move to a position and orientation to sense data in at least part of the first undiscovered area; and obtaining an updated version of the map mapping a larger area of the workspace than the first version.
    Type: Grant
    Filed: April 17, 2020
    Date of Patent: January 24, 2023
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Sebastian Schweigert, Lukas Fath, Chen Zhang
  • Patent number: 11548159
    Abstract: Provided is a robot including: a chassis; wheels; electric motors; a network card; sensors; a processor; and a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: capturing, with at least one exteroceptive sensor, a first image and a second image; determining, with the processor, an overlapping area of the first image and the second image by comparing the raw pixel intensity values of the first image to the raw pixel intensity values of the second image; combining, with the processor, the first image and the second image at the overlapping area to generate a digital spatial representation of the environment; and estimating, with the processor using a statistical ensemble of simulated positions of the robot, a corrected position of the robot to replace a last known position of the robot within the digital spatial representation of the environment.
    Type: Grant
    Filed: May 30, 2019
    Date of Patent: January 10, 2023
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Lukas Fath, Chen Zhang, Brian Highfill, Amin Ebrahimi Afrouzi
  • Patent number: 11499832
    Abstract: Provided is a process executed by a robot, including: traversing, to a first position, a first distance in a backward direction; after traversing the first distance, rotating in a first rotation; after the first rotation, traversing, to a second position, a second distance in a third direction; after traversing the second distance, rotating 180 degrees in a second rotation such that the field of view of the sensor points in a fourth direction; after the second rotation, traversing, to a third position, a third distance in the fourth direction; after traversing the second distance, rotating 180 degrees in a third rotation such that the field of view of the sensor points in the third direction; and after the third rotation, traversing, to a fourth position, a fourth distance in the third direction.
    Type: Grant
    Filed: January 17, 2022
    Date of Patent: November 15, 2022
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Lukas Fath, Chen Zhang, Sebastian Schweigert
  • Patent number: 11481918
    Abstract: A robot adapted to capture a plurality of data; perceive a model of the environment based on the plurality of data; determine areas within which work was performed and areas within which work is yet to be performed; store the model of the environment in a memory accessible to the processor; and transmit the model of the environment and a status of the robot to an application of a smartphone previously paired with the robot.
    Type: Grant
    Filed: January 24, 2022
    Date of Patent: October 25, 2022
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Chen Zhang, Sebastian Schweigert, Lukas Fath
  • Patent number: 11467587
    Abstract: Provided is a method for operating a robot, including capturing images of a workspace, comparing at least one object from the captured images to objects in an object dictionary, identifying a class to which the at least one object belongs using an object classification unit, instructing the robot to execute at least one action based on the object class identified, capturing movement data of the robot, and generating a planar representation of the workspace based on the captured images and the movement data, wherein the captured images indicate a position of the robot relative to objects within the workspace and the movement data indicates movement of the robot.
    Type: Grant
    Filed: August 17, 2020
    Date of Patent: October 11, 2022
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Soroush Mehrnia, Lukas Fath
  • Patent number: 11454981
    Abstract: Provided is a robotic device, including: a chassis; a set of wheels; one or more motors to drive the set of wheels; a suspension system; a controller in communication with the one or more motors; at least one sensor; a camera; one or more processors; a tangible, non-transitory, machine readable medium storing instructions that when executed by the one or more processors effectuate operations including: capturing, with the camera, spatial data of surroundings; generating, with the one or more processors, a spatial model of the surroundings based on the spatial data; generating, with the one or more processors, a movement path based on the spatial model of the surroundings; inferring, with the one or more processors, a location of the robotic device; and updating, with the one or more processors, the movement path to exclude locations of the movement path that the robotic device has previously been located.
    Type: Grant
    Filed: April 19, 2019
    Date of Patent: September 27, 2022
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Lukas Fath, Chen Zhang
  • Patent number: 11449061
    Abstract: Provided is a method for operating a robot, including capturing images of a workspace, comparing at least one object from the captured images to objects in an object dictionary, identifying a class to which the at least one object belongs using an object classification unit, instructing the robot to execute at least one action based on the object class identified, capturing movement data of the robot, and generating a planar representation of the workspace based on the captured images and the movement data, wherein the captured images indicate a position of the robot relative to objects within the workspace and the movement data indicates movement of the robot.
    Type: Grant
    Filed: August 17, 2020
    Date of Patent: September 20, 2022
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Soroush Mehrnia, Lukas Fath
  • Patent number: 11449064
    Abstract: Provided is provide a robotic device, including: a chassis; a set of wheels; a control system; a battery; one or more sensors; a processor; a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: capturing, with the one or more sensors, data of an environment of the robotic device and data indicative of movement of the robotic device; generating or updating, with the processor, a map of the environment based on at least a portion of the captured data; inferring, with the one or more processors of the robotic device, a current location of the robotic device, and generating or updating, with the processor, a movement path of the robotic device based on at least the map of the environment, at least a portion of the captured data, and the inferred current location of the robotic device.
    Type: Grant
    Filed: August 7, 2019
    Date of Patent: September 20, 2022
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Lukas Fath, Chen Zhang, Brian Highfill
  • Patent number: 11435192
    Abstract: Provided is a method including: capturing first data indicative of the position of the robot in relation to objects within the workspace and second data indicative of movement of the robot; recognizing, with a processor of the robot, a first area of the workspace based on at least one of: a first part of the first data and a first part of the second data; generating, with the processor of the robot, at least part of a map of the workspace based on at least one of: the first part of the first data and the first part of the second data; generating, with the processor of the robot, a first movement path covering at least part of the first recognized area; actuating, with the processor of the robot, the robot to move along the first movement path.
    Type: Grant
    Filed: January 21, 2022
    Date of Patent: September 6, 2022
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Lukas Fath, Chen Zhang
  • Patent number: 11435746
    Abstract: Provided is a robot, including: a chassis; a set of wheels coupled to the chassis; a processor; and a tangible, non-transitory, machine-readable medium storing instructions that when executed by the processor effectuate operations including: capturing, by an image sensor disposed on a robot, images of a workspace; obtaining, by the processor of the robot or via the cloud, the captured images; comparing, by the processor of the robot or via the cloud, at least one object from the captured images to objects in an object dictionary; identifying, by the processor of the robot or via the cloud, a class to which the at least one object belongs using an object classification unit; and instructing, by the processor of the robot, the robot to execute at least one action based on the object class identified.
    Type: Grant
    Filed: January 17, 2022
    Date of Patent: September 6, 2022
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Soroush Mehrnia, Lukas Fath
  • Patent number: 11427266
    Abstract: A system for robotic collaboration, including: a first robotic chassis and a second robotic chassis, each including wheels; a control system; a power supply; at least one sensor; a processor, and a medium storing instructions that when executed by the respective processor effectuates operations including: capturing data of an environment and data indicative of movement; generating a map of the environment based on at least some of the captured data; inferring a current location of the respective robotic chassis based on at least some of the captured data; and executing a portion of a task, the second robotic chassis executing a second part of the task after the first robotic chassis completes a first part of the task.
    Type: Grant
    Filed: January 17, 2022
    Date of Patent: August 30, 2022
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Lukas Fath, Shahin Fathi Djalali
  • Patent number: 11393114
    Abstract: Methods and systems for collaboratively constructing a map of an environment. One or more sensory devices installed on an autonomous vehicle take readings within a field of view of the sensory device. As the vehicle moves within the environment, the sensory device continuously takes readings within new fields of view. At the same time, sensory devices installed on other autonomous vehicles operating within the same environment and/or fixed devices monitoring the environment take readings within their respective fields of view. The readings recorded by a processor of each autonomous vehicle may be shared with all other processors of autonomous vehicles operating within the same environment with whom a data transfer channel is established. Processors combine overlapping readings to construct continuously growing segments of the map. Combined readings are taken by the same sensory device or by different sensory devices and are taken at the same time or at different times.
    Type: Grant
    Filed: November 8, 2018
    Date of Patent: July 19, 2022
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Sebastian Schweigert, Lukas Fath, Chen Zhang
  • Publication number: 20220187841
    Abstract: Some aspects include a method for operating a wheeled device, including: capturing, by a primary sensor coupled to the wheeled device, primary sensor data indicative of a plurality of radial distances to objects; transforming, by a processor of the wheeled device, the plurality of radial distances from a perspective of the primary sensor to a perspective of the wheeled device; generating, by the processor, a partial map of visible areas in real-time at a first position of the wheeled device based on the primary sensor data and some secondary sensor data, wherein: the partial map is a bird's eye view; and the processor iteratively completes a full map of the environment based on new sensor data captured by sensors as the wheeled device performs work within the environment and new areas become visible to the sensors; and executing, by the wheeled device, a movement path to a second position.
    Type: Application
    Filed: October 5, 2021
    Publication date: June 16, 2022
    Applicant: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Lukas Fath, Andrew Fitzgerald, Amin Ebrahimi Afrouzi, Brian Highfill, Masih Ebrahimi Afrouzi, Nema Link
  • Patent number: 11352071
    Abstract: Provided is a first robot including: a machine readable medium storing instructions that when executed by the processor of the first robot effectuates operations including: executing, with the processor of the first robot, a task; and transmitting, with the processor of the first robot, a signal to a processor of a second robot during execution of the task when its power supply level reduces below a predetermined threshold; and the second robot including: a machine readable medium storing instructions that when executed by the processor of the second robot effectuates operations including: executing, with the processor of the second robot, the remainder of the task upon receiving the signal transmitted from the processor of the first robot; and wherein the first robot navigates to a charging station when its power supply level reduces below the predetermined threshold and wherein the first robot and second robot provide the same services.
    Type: Grant
    Filed: September 23, 2019
    Date of Patent: June 7, 2022
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Lukas Fath, Shahin Fathi Djalali
  • Patent number: 11348269
    Abstract: A robot for perceiving a spatial representation of an environment, including: an actuator, at least one sensor, a processor, and memory storing instructions that when executed by the processor effectuates operations including: capturing a plurality of data by the at least one sensor of the robot, wherein: the plurality of data comprises first data comprising pixel characteristics indicative of features of the environment and second data indicative of depth to objects in the environment; the plurality of data is captured from different positions within the environment through which the robot moves, the plurality of data corresponding with respective positions from which the plurality of data was captured; and the plurality of data captured from different respective positions within the environment corresponds to respective fields of view; and aligning the plurality of data as it is captured to more accurately perceive the spatial representation of the environment.
    Type: Grant
    Filed: July 2, 2020
    Date of Patent: May 31, 2022
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Chen Zhang, Sebastian Schweigert, Lukas Fath
  • Patent number: 11340079
    Abstract: Provided is a wheeled device, including: a chassis; a set of wheels coupled to the chassis; one or more electric motors to rotate the set of wheels; a network card for wireless connection to the internet; a plurality of sensors; a processor electronically coupled to the plurality of sensors; and a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: capturing, with at least one exteroceptive sensor, measurement readings of the environment; and estimating, with the processor using a statistical ensemble of simulated positions of the wheeled device and the measurement readings, a corrected position of the wheeled device to replace a last known position of the wheeled device.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: May 24, 2022
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Lukas Fath, Chen Zhang, Brian Highfill, Amin Ebrahimi Afrouzi
  • Patent number: 11320828
    Abstract: Provided is a robotic device, including: a chassis; a set of wheels; one or more motors to drive the set of wheels; a controller in communication with the one or more motors; one or more surface cleaning tools; at least one sensor; a camera; one or more processors; a medium storing instructions that when executed by the one or more processors effectuate operations including: capturing, with the camera of the robotic device, spatial data of surroundings of the robotic device; generating, with the one or more processors of the robotic device, a movement path based on the spatial data of the surroundings; inferring, with the one or more processors of the robotic device, a location of the robotic device; and updating, with the one or more processors of the robotic device, the movement path to exclude locations of the movement path that the robotic device has previously been located.
    Type: Grant
    Filed: March 8, 2019
    Date of Patent: May 3, 2022
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Lukas Fath, Chen Zhang
  • Patent number: 11274929
    Abstract: Provided is a method including: capturing, with at least one sensor of a robot, first data indicative of the position of the robot in relation to objects within the workspace and second data indicative of movement of the robot; recognizing, with a processor of the robot, a first area of the workspace based on observing at least one of: a first part of the first data and a first part of the second data; generating, with the processor of the robot, at least part of a map of the workspace based on at least one of: the first part of the first data and the first part of the second data; generating, with the processor of the robot, a first movement path covering at least part of the first recognized area; actuating, with the processor of the robot, the robot to move along the first movement path.
    Type: Grant
    Filed: December 22, 2019
    Date of Patent: March 15, 2022
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Lukas Fath, Chen Zhang
  • Publication number: 20220066456
    Abstract: Provided is a method for operating a robot, including: capturing images of a workspace; capturing movement data indicative of movement of the robot; capturing LIDAR data as the robot performs work within the workspace; comparing at least one object from the captured images to objects in an object dictionary; identifying a class to which the at least one object belongs; generating a first iteration of a map of the workspace based on the LIDAR data; generating additional iterations of the map based on newly captured LIDAR data and newly captured movement data; actuating the robot to drive along a trajectory that follows along a planned path by providing pulses to one or more electric motors of wheels of the robot; and localizing the robot within an iteration of the map by estimating a position of the robot based on the movement data, slippage, and sensor errors.
    Type: Application
    Filed: August 16, 2021
    Publication date: March 3, 2022
    Applicant: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Lukas Fath, Andrew Fitzgerald, Amin Ebrahimi Afrouzi, Brian Highfill
  • Patent number: 11254002
    Abstract: Provided is a robotic device including a medium storing instructions that when executed by one or more processors effectuate operations including: capturing, with a camera, spatial data of surroundings; generating, with the one or more processors, a movement path based on the spatial data; predicting, with the one or more processors, a new predicted state of the robotic device including at least a predicted position of the robotic device, wherein predicting the new predicted state includes: capturing, with at least one sensor, movement readings of the robotic device; predicting, with the one or more processors, the new predicted state using a motion model of the robotic device based on a previous predicted state of the robotic device and the movement readings; and updating, with the one or more processors, the movement path to exclude locations of the movement path that the robotic device has previously been predicted to be positioned.
    Type: Grant
    Filed: March 14, 2019
    Date of Patent: February 22, 2022
    Assignee: AI Incorporated
    Inventors: Ali Ebrahimi Afrouzi, Lukas Fath