Patents by Inventor Connor Basich

Connor Basich 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).

  • Online State Space Refinement for Competence-Aware Systems
    Publication number: 20230382433
    Abstract: A first method includes detecting, based on sensor data, an environment state; selecting an action based on the environment state; determining an autonomy level associated with the environment state and the action; and performing the action according to the autonomy level. The autonomy level can be selected based at least on an autonomy model and a feedback model. A second method includes calculating, by solving an extended Stochastic Shortest Path (SSP) problem, a policy for solving a task. The policy can map environment states and autonomy levels to actions and autonomy levels. Calculating the policy can include generating plans that operate across multiple levels of autonomy.
    Type: Application
    Filed: May 31, 2022
    Publication date: November 30, 2023
    Inventors: Connor Basich, Kyle Hollins Wray, Stefan Witwicki, Shlomo Zilberstein
  • Introspective competence modeling for AV decision making
    Patent number: 11307585
    Abstract: A first method includes detecting, based on sensor data, an environment state; selecting an action based on the environment state; determining an autonomy level associated with the environment state and the action; and performing the action according to the autonomy level. The autonomy level can be selected based at least on an autonomy model and a feedback model. A second method includes calculating, by solving an extended Stochastic Shortest Path (SSP) problem, a policy for solving a task. The policy can map environment states and autonomy levels to actions and autonomy levels. Calculating the policy can include generating plans that operate across multiple levels of autonomy.
    Type: Grant
    Filed: October 30, 2019
    Date of Patent: April 19, 2022
    Assignees: Nissan North America, Inc., The University of Massachusetts, Renault S.A.S.
    Inventors: Connor Basich, Kyle Hollins Wray, Stefan Witwicki, Shlomo Zilberstein
  • Introspective Competence Modeling for AV Decision Making
    Publication number: 20210132606
    Abstract: A first method includes detecting, based on sensor data, an environment state; selecting an action based on the environment state; determining an autonomy level associated with the environment state and the action; and performing the action according to the autonomy level. The autonomy level can be selected based at least on an autonomy model and a feedback model. A second method includes calculating, by solving an extended Stochastic Shortest Path (SSP) problem, a policy for solving a task. The policy can map environment states and autonomy levels to actions and autonomy levels. Calculating the policy can include generating plans that operate across multiple levels of autonomy.
    Type: Application
    Filed: October 30, 2019
    Publication date: May 6, 2021
    Inventors: Connor Basich, Kyle Hollins Wray, Stefan Witwicki, Shlomo Zilberstein