LEANDRO GIOVANNI BARAJAS
Pilots at Cedar Trl Ln, Harvest, AL
License number
Alabama A4833181
Issued Date
Apr 2013
Expiration Date
Apr 2014
Category
Airmen
Type
Authorized Aircraft Instructor
Address
Address
332 Cedar Trail Ln, Harvest, AL 35749
Professional information
Method And System For Training A Robot Using Human-Assisted Task Demonstration
US Patent:
2013024, Sep 19, 2013
Filed:
Mar 15, 2012
Appl. No.:
13/420677
Inventors:
Leandro G. Barajas - Harvest AL, US
Eric Martinson - Alexandria VA, US
David W. Payton - Calabasas CA, US
Ryan M. Uhlenbrock - Los Angeles CA, US
Eric Martinson - Alexandria VA, US
David W. Payton - Calabasas CA, US
Ryan M. Uhlenbrock - Los Angeles CA, US
Assignee:
GM GLOBAL TECHNOLOGY OPEATIONS LLC - Detroit MI
International Classification:
B25J 13/08
US Classification:
700253, 901 5, 901 46
Abstract:
A method for training a robot to execute a robotic task in a work environment includes moving the robot across its configuration space through multiple states of the task and recording motor schema describing a sequence of behavior of the robot. Sensory data describing performance and state values of the robot is recorded while moving the robot. The method includes detecting perceptual features of objects located in the environment, assigning virtual deictic markers to the detected perceptual features, and using the assigned markers and the recorded motor schema to subsequently control the robot in an automated execution of another robotic task. Markers may be combined to produce a generalized marker. A system includes the robot, a sensor array for detecting the performance and state values, a perceptual sensor for imaging objects in the environment, and an electronic control unit that executes the present method.
Procedural Memory Learning And Robot Control
US Patent:
2013021, Aug 22, 2013
Filed:
Feb 21, 2012
Appl. No.:
13/400969
Inventors:
Leandro G. BARAJAS - Harvest AL, US
Adam M. SANDERS - Holly MI, US
Adam M. SANDERS - Holly MI, US
Assignee:
GM GLOBAL TECHNOLOGY OPERATIONS LLC - Detroit MI
International Classification:
G05B 19/04
US Classification:
700246
Abstract:
Methods and apparatus for procedural memory learning to control a robot by demonstrating a task action to the robot and having the robot learn the action according to a similarity matrix of correlated values, attributes, and parameters obtained from the robot as the robot performs the demonstrated action. Learning is done by an artificial neural network associated with the robot controller, so that the robot learns to perform the task associated with the similarity matrix. Extended similarity matrices can contain integrated and differentiated values of variables. Procedural memory learning reduces overhead in instructing robots to perform tasks. Continued learning improves performance and provides automatic compensation for changes in robot condition and environmental factors.