Patents by Inventor Aaron Havens

Aaron Havens 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: 20240004386
    Abstract: Systems and methods for dynamic predictive control of autonomous vehicles are disclosed. In one aspect, an in-vehicle control system for a semi-truck includes one or more control mechanisms configured to control movement of the semi-truck and a processor. The system further includes computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive a desired trajectory and a vehicle status of the semi-truck, determine a dynamic model of the semi-truck based on the desired trajectory and the vehicle status, determine at least one quadratic program (QP) problem based on the dynamic model, generate at least one control command for controlling the semi-truck by solving the at least one QP problem, and provide the at least one control command to the one or more control mechanisms.
    Type: Application
    Filed: September 18, 2023
    Publication date: January 4, 2024
    Inventors: Aaron Havens, Jun Chen, Yujia Wu, Haoming Sun, Zijie Xuan, Arda Kurt
  • Patent number: 11809185
    Abstract: Systems and methods for dynamic predictive control of autonomous vehicles are disclosed. In one aspect, an in-vehicle control system for a semi-truck includes one or more control mechanisms configured to control movement of the semi-truck and a processor. The system further includes computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive a desired trajectory and a vehicle status of the semi-truck, determine a dynamic model of the semi-truck based on the desired trajectory and the vehicle status, determine at least one quadratic program (QP) problem based on the dynamic model, generate at least one control command for controlling the semi-truck by solving the at least one QP problem, and provide the at least one control command to the one or more control mechanisms.
    Type: Grant
    Filed: June 2, 2022
    Date of Patent: November 7, 2023
    Assignee: TUSIMPLE, INC.
    Inventors: Aaron Havens, Jun Chen, Yujia Wu, Haoming Sun, Zijie Xuan, Arda Kurt
  • Publication number: 20220291687
    Abstract: Systems and methods for dynamic predictive control of autonomous vehicles are disclosed. In one aspect, an in-vehicle control system for a semi-truck includes one or more control mechanisms configured to control movement of the semi-truck and a processor. The system further includes computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive a desired trajectory and a vehicle status of the semi-truck, determine a dynamic model of the semi-truck based on the desired trajectory and the vehicle status, determine at least one quadratic program (QP) problem based on the dynamic model, generate at least one control command for controlling the semi-truck by solving the at least one QP problem, and provide the at least one control command to the one or more control mechanisms.
    Type: Application
    Filed: June 2, 2022
    Publication date: September 15, 2022
    Inventors: Aaron Havens, Jun Chen, Yujia Wu, Haoming Sun, Zijie Xuan, Arda Kurt
  • Patent number: 11372403
    Abstract: Systems and methods for dynamic predictive control of autonomous vehicles are disclosed. In one aspect, an in-vehicle control system for a semi-truck includes one or more control mechanisms configured to control movement of the semi-truck and a processor. The system further includes computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive a desired trajectory and a vehicle status of the semi-truck, determine a dynamic model of the semi-truck based on the desired trajectory and the vehicle status, determine at least one quadratic program (QP) problem based on the dynamic model, generate at least one control command for controlling the semi-truck by solving the at least one QP problem, and provide the at least one control command to the one or more control mechanisms.
    Type: Grant
    Filed: November 5, 2018
    Date of Patent: June 28, 2022
    Assignee: TUSIMPLE, INC.
    Inventors: Aaron Havens, Jun Chen, Yujia Wu, Haoming Sun, Zijie Xuan, Arda Kurt
  • Publication number: 20200142405
    Abstract: Systems and methods for dynamic predictive control of autonomous vehicles are disclosed. In one aspect, an in-vehicle control system for a semi-truck includes one or more control mechanisms configured to control movement of the semi-truck and a processor. The system further includes computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive a desired trajectory and a vehicle status of the semi-truck, determine a dynamic model of the semi-truck based on the desired trajectory and the vehicle status, determine at least one quadratic program (QP) problem based on the dynamic model, generate at least one control command for controlling the semi-truck by solving the at least one QP problem, and provide the at least one control command to the one or more control mechanisms.
    Type: Application
    Filed: November 5, 2018
    Publication date: May 7, 2020
    Inventors: Aaron Havens, Jun Chen, Yujia Wu, Haoming Sun, Zijie Xuan, Arda Kurt
  • Publication number: 20140112891
    Abstract: The invention provides methods and compositions for the repair or regeneration of osteochondral tissue. The methods and compositions provide an effective amount of isolated differentiable human Very Small Embryonic Like Stem Cells (hVSELs) sufficient for regeneration or repair of an osteochondral tissue. The compositions can be administered directly to the tissue or administered systemically.
    Type: Application
    Filed: April 9, 2012
    Publication date: April 24, 2014
    Applicants: NEOSTEM, INC., THE REGENTS OF THE UNIVERSITY OF MICHIGAN
    Inventors: Russell Taichman, Paul H. Krebsbach, Aaron Havens, Anjali Mishra, Denis Rodgerson, Jingcheng Wang, Yusuke Shiozawa, Younghun Jung