Patents by Inventor Shivaram Kalyanakrishnan

Shivaram Kalyanakrishnan 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).

  • Machine learning approach for predicting humanoid robot fall
    Patent number: 8554370
    Abstract: A system and method is disclosed for predicting a fall of a robot having at least two legs. A learned representation, such as a decision list, generated by a supervised learning algorithm is received. This learned representation may have been generated based on trajectories of a simulated robot when various forces are applied to the simulated robot. The learned representation takes as inputs a plurality of features of the robot and outputs a classification indicating whether the current state of the robot is balanced or falling. A plurality of features of the current state of the robot, such as the height of the center of mass of the robot, are determined based on current values of a joint angle or joint velocity of the robot. The current state of the robot is classified as being either balanced or falling by evaluating the learned representation with the plurality of features of the current state of the robot.
    Type: Grant
    Filed: January 29, 2010
    Date of Patent: October 8, 2013
    Assignee: Honda Motor Co., Ltd
    Inventors: Ambarish Goswami, Shivaram Kalyanakrishnan
  • Machine Learning Approach for Predicting Humanoid Robot Fall
    Publication number: 20100292838
    Abstract: A system and method is disclosed for predicting a fall of a robot having at least two legs. A learned representation, such as a decision list, generated by a supervised learning algorithm is received. This learned representation may have been generated based on trajectories of a simulated robot when various forces are applied to the simulated robot. The learned representation takes as inputs a plurality of features of the robot and outputs a classification indicating whether the current state of the robot is balanced or falling. A plurality of features of the current state of the robot, such as the height of the center of mass of the robot, are determined based on current values of a joint angle or joint velocity of the robot. The current state of the robot is classified as being either balanced or falling by evaluating the learned representation with the plurality of features of the current state of the robot.
    Type: Application
    Filed: January 29, 2010
    Publication date: November 18, 2010
    Applicant: HONDA MOTOR CO., LTD.
    Inventors: Ambarish Goswami, Shivaram Kalyanakrishnan