Patents by Inventor Iman Soltani Bozchalooi

Iman Soltani Bozchalooi 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).

  • Publication number: 20200156241
    Abstract: A control and learning module for controlling a robotic arm includes at least one learning module including at least one neural network. The at least one neural network is configured to receive and be trained by both state measurements based on measurements of current state and observation measurements based on observation data during an initial learning phase. The at least one learning module is further configured to be re-tuned by updated observation data for improved performance during an operations and secondary learning phase when the robotic arm is in normal operation and after the initial learning phase.
    Type: Application
    Filed: November 21, 2018
    Publication date: May 21, 2020
    Applicant: Ford Global Technologies, LLC
    Inventor: Iman SOLTANI BOZCHALOOI
  • Publication number: 20200156255
    Abstract: An automation system includes a manipulation system including a manipulator for moving an object to a target location, a vision system for detecting landmarks on the object and the target location, and a learning and control module. The vision system is movable. The learning and control module is configured to control a movement of the manipulator and change a field of view of the vision system independent of the movement of the manipulator.
    Type: Application
    Filed: November 21, 2018
    Publication date: May 21, 2020
    Applicant: Ford Global Technologies, LLC
    Inventors: Iman SOLTANI BOZCHALOOI, Francis ASSADIAN
  • Publication number: 20200160107
    Abstract: A method of acquiring and processing visual data is provided, which includes: directing a light of a particular color to at least one of the plurality of landmarks on an object to illuminate the at least one of the plurality of landmarks; obtaining a first image of the object when the at least one of the plurality of landmarks on the object is illuminated; and extracting coordinates of the at least one of the plurality of landmarks from the first image
    Type: Application
    Filed: November 19, 2018
    Publication date: May 21, 2020
    Applicant: Ford Global Technologies, LLC
    Inventors: Iman SOLTANI BOZCHALOOI, Francis ASSADIAN
  • Patent number: 10649072
    Abstract: A LiDAR device that transmits a single or multiple continuous or intermittent laser beams to the environment and detects the reflected light on one or more detectors. The LiDAR device may include a scanning mirrors array composed of a single or multiple moving mirrors capable of changing the direction of the transmitted light. The scanning mirrors array may also include sensors and actuators which can be used to precisely control or measure the position of the mirrors. The LiDAR device may also include a lens that focuses the light captured by the mirror(s) onto a single or a multitude of detectors. The device may include laser sources and detectors operating in various wavelengths. The LiDAR device may also include laser power modulation mechanisms at a single or multitude of frequencies to improve signal detection performance and remove any ambiguity in range calculation.
    Type: Grant
    Filed: May 10, 2017
    Date of Patent: May 12, 2020
    Assignee: Massachusetts Institute of Technology
    Inventors: Iman Soltani Bozchalooi, Kamal Youcef-Toumi
  • Publication number: 20180329037
    Abstract: A LiDAR device that transmits a single or multiple continuous or intermittent laser beams to the environment and detects the reflected light on one or more detectors. The LiDAR device may include a scanning mirrors array composed of a single or multiple moving mirrors capable of changing the direction of the transmitted light. The scanning mirrors array may also include sensors and actuators which can be used to precisely control or measure the position of the mirrors. The LiDAR device may also include a lens that focuses the light captured by the mirror(s) onto a single or a multitude of detectors. The device may include laser sources and detectors operating in various wavelengths. The LiDAR device may also include laser power modulation mechanisms at a single or multitude of frequencies to improve signal detection performance and remove any ambiguity in range calculation.
    Type: Application
    Filed: May 10, 2017
    Publication date: November 15, 2018
    Inventors: Iman Soltani Bozchalooi, Kamal Youcef-Toumi
  • Publication number: 20180224859
    Abstract: Example tornado detection systems and methods are described. In one implementation, a method receives data from a sensor mounted to a vehicle and analyzes the received data using a deep neural network. The method determines whether a tornado is identified in the received data based on the analysis of the received data. If a tornado is identified in the received data, the method determines a trajectory of the tornado.
    Type: Application
    Filed: February 8, 2017
    Publication date: August 9, 2018
    Inventors: Alexander Brudner, Scott Vincent Myers, Iman Soltani Bozchalooi
  • Publication number: 20180074383
    Abstract: Active lens assemblies based on a deformable lens adhered to an electroactive polymer (EAP) membrane based actuator, active lens systems comprising such active lenses, and methods of actuating a deformable lens are described. The active lenses can provide controllable optical power, withstand constant periods of actuation, have low power consumption, have fewer mechanically moving parts, have fast response times and/or high portability. These benefits are important for use in precision-seeking applications, such as collision avoidance systems in automobiles.
    Type: Application
    Filed: July 25, 2017
    Publication date: March 15, 2018
    Inventors: Christopher L. Kwok, Iman Soltani Bozchalooi
  • Patent number: 9397587
    Abstract: Multi-actuator system. The system includes at least two nano positioners having different ranges and bandwidths located in cascaded serial form to contact and move an object. A control system employs data-based control design to combine the at least two nano positioners so as to apportion actuation responsibilities among the at least two nano positioners so as to compensate for their coupled dynamics while moving the object. It is preferred to provide a separate controller for controlling separately each of the at least two nano positioners. Parameters of the separate controllers may be determined by minimizing output error.
    Type: Grant
    Filed: November 19, 2014
    Date of Patent: July 19, 2016
    Assignee: Massachusetts Institute of Technology
    Inventors: Kamal Youcef-Toumi, Iman Soltani Bozchalooi, Andrew Careaga Houck
  • Publication number: 20150137712
    Abstract: Multi-actuator system. The system includes at least two nano positioners having different ranges and bandwidths located in cascaded serial form to contact and move an object. A control system employs data-based control design to combine the at least two nano positioners so as to apportion actuation responsibilities among the at least two nano positioners so as to compensate for their coupled dynamics while moving the object. It is preferred to provide a separate controller for controlling separately each of the at least two nano positioners. Parameters of the separate controllers may be determined by minimizing output error.
    Type: Application
    Filed: November 19, 2014
    Publication date: May 21, 2015
    Inventors: Kamal Youcef-Toumi, Iman Soltani Bozchalooi, Andrew Careaga Houck
  • Patent number: 8544331
    Abstract: A parameter-free method to analyze sensor signals incorporates two or more of frequency demodulation, amplitude demodulation and phase demodulation of the raw signal data. The resulting signal is transformed to a frequency domain, and target fault characteristics from the demodulated signal are identified. The method is used to detect faults in bearings, gears and other mechanical components.
    Type: Grant
    Filed: December 4, 2009
    Date of Patent: October 1, 2013
    Assignee: University of Ottawa
    Inventors: Ming Liang, Iman Soltani Bozchalooi
  • Patent number: 8516610
    Abstract: Rheology system. The system includes a first piezoelectric actuator assembly for providing microscale displacement of a sample and a second piezoelectric actuator assembly for oscillating the sample at a nano/micro scale displacement in a selected frequency range extended significantly as compared to the frequency range available on the commercial AFMs. A preferred sample is cartilage and the disclosed system can distinguish between normal cartilage and GAG-depleted cartilage.
    Type: Grant
    Filed: March 19, 2012
    Date of Patent: August 20, 2013
    Assignee: Massachusetts Institute of Technology
    Inventors: Hadi Tavakoli Nia, Iman Soltani Bozchalooi, Kamal Youcef-Toumi, Christine Ortiz, Alan J. Grodzinsky, Eliot Frank
  • Patent number: 8073634
    Abstract: A signal analysis method extracts transient target signals of known type from a raw data source signal that contains an unknown number of target signals. The method can enhance the analysis of data obtained from in-line oil-debris sensors. The method comprises steps of: defining signatures of the known target signal, and of at least one of the intrinsic noise and interfering signals; performing a mathematical transform that decomposes the raw data into distinct data sets; using the signal signatures to identify and nullify the data sets containing noise and interfering signal signatures; using the target signal signatures to identify the data sets containing target signal components, or may further use a thresholding rule to remove intrinsic noise from said data sets, and finally applying the inverse transform to the processed data sets in order to reconstruct an enhanced output signal.
    Type: Grant
    Filed: September 22, 2008
    Date of Patent: December 6, 2011
    Assignee: University of Ottawa
    Inventors: Ming Liang, Tet Hin Yeap, Xianfeng Fan, Iman Soltani Bozchalooi
  • Publication number: 20100139403
    Abstract: A parameter-free method to analyze sensor signals incorporates two or more of frequency demodulation, amplitude demodulation and phase demodulation of the raw signal data. The resulting signal is transformed to a frequency domain, and target fault characteristics from the demodulated signal are identified. The method is used to detect faults in bearings, gears and other mechanical components.
    Type: Application
    Filed: December 4, 2009
    Publication date: June 10, 2010
    Applicant: UNIVERSITY OF OTTAWA
    Inventors: Ming LIANG, Iman Soltani BOZCHALOOI
  • Publication number: 20100076693
    Abstract: A signal analysis method extracts transient target signals of known type from a raw data source signal that contains an unknown number of target signals. The method can enhance the analysis of data obtained from in-line oil-debris sensors. The method comprises steps of: defining signatures of the known target signal, and of at least one of the intrinsic noise and interfering signals; performing a mathematical transform that decomposes the raw data into distinct data sets; using the signal signatures to identify and nullify the data sets containing noise and interfering signal signatures; using the target signal signatures to identify the data sets containing target signal components, or may further use a thresholding rule to remove intrinsic noise from said data sets, and finally applying the inverse transform to the processed data sets in order to reconstruct an enhanced output signal.
    Type: Application
    Filed: September 22, 2008
    Publication date: March 25, 2010
    Applicant: UNIVERSITY OF OTTAWA
    Inventors: Ming LIANG, Tet Hin YEAP, Xianfeng FAN, Iman Soltani BOZCHALOOI