Patents by Inventor Pradeep Krishna Yarlagadda

Pradeep Krishna Yarlagadda 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: 10679509
    Abstract: A machine learning engine may correlate characteristics of obstacles identified during remotely piloted UAV flights with manual course deviations performed for obstacle avoidance. An obstacle detection application may access computer vision footage to determine notable characteristics (e.g. a direction of travel and/or velocity) of obstacles identified during the piloted UAV flights. A deviation characteristics application may access flight path information identify course deviations performed by a pilot in response to the obstacles. A machine learning engine may use the obstacle characteristic data and the deviation characteristics data as training data to generate an optimal course deviation model to use by an autopilot module to autonomously avoid obstacles during autonomous UAV flights.
    Type: Grant
    Filed: September 20, 2016
    Date of Patent: June 9, 2020
    Assignee: Amazon Technologies, Inc.
    Inventor: Pradeep Krishna Yarlagadda
  • Patent number: 10099381
    Abstract: Described are techniques for storing and retrieving items using a robotic device for moving items. Any combinations of image data depicting a manipulator interacting with an item, sensor data from sensors instrumenting the manipulator or item, item data regarding characteristics of the item, and constraint data relating to characteristics of the robotic device may be used to generate one or more configurations for the robotic device. The configurations may include points of contact and force vectors for contacting the item using the robotic device.
    Type: Grant
    Filed: July 17, 2017
    Date of Patent: October 16, 2018
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Pradeep Krishna Yarlagadda, Cédric Philippe Charles Jean Ghislain Archambeau, James Christopher Curlander, Michael Donoser, Ralf Herbrich, Barry James O'Brien, Marshall Friend Tappen
  • Patent number: 9731420
    Abstract: Described are techniques for storing and retrieving items using a robotic manipulator. Images depicting a human interacting with an item, sensor data from sensors instrumenting the human or item, data regarding physical characteristics of the item, and constraint data relating to the robotic manipulator or the item may be used to generate one or more configurations for the robotic manipulator. The configurations may include points of contact and force vectors for contacting the item using the robotic manipulator.
    Type: Grant
    Filed: May 26, 2016
    Date of Patent: August 15, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: Pradeep Krishna Yarlagadda, Cédric Philippe Charles Jean Ghislain Archambeau, James Christopher Curlander, Michael Donoser, Ralf Herbrich, Barry James O'Brien, Marshall Friend Tappen
  • Patent number: 9381645
    Abstract: Described are techniques for storing and retrieving items using a robotic manipulator. Images depicting a human interacting with an item, sensor data from sensors instrumenting the human or item, data regarding physical characteristics of the item, and constraint data relating to the robotic manipulator may be used to generate one or more configurations for the robotic manipulator. Points of contact and force vectors of the configurations may correspond to the points of contact and force vectors determined from the images and sensor data.
    Type: Grant
    Filed: December 8, 2014
    Date of Patent: July 5, 2016
    Assignee: Amazon Technologies, Inc.
    Inventors: Pradeep Krishna Yarlagadda, Cédric Philippe Charles Jean Ghislain Archambeau, James Christopher Curlander, Michael Donoser, Ralf Herbrich, Barry James O'Brien, Marshall Friend Tappen