The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 30, 2018

Filed:

Apr. 26, 2016
Applicant:

Hrl Laboratories, Llc, Malibu, CA (US);

Inventors:

Heiko Hoffmann, Simi Valley, CA (US);

Michael J. Daily, Thousand Oaks, CA (US);

Assignee:

HRL Laboratories, LLC, Malibu, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/00 (2006.01); B25J 9/16 (2006.01); B25J 19/02 (2006.01); G05D 1/02 (2006.01); H04N 13/02 (2006.01); H04N 5/225 (2006.01); G06T 11/60 (2006.01); G06F 3/0484 (2013.01);
U.S. Cl.
CPC ...
G05D 1/0038 (2013.01); B25J 9/1689 (2013.01); B25J 19/023 (2013.01); G05D 1/0016 (2013.01); G05D 1/0251 (2013.01); G06F 3/04842 (2013.01); G06F 3/04845 (2013.01); G06T 11/60 (2013.01); H04N 5/2253 (2013.01); H04N 13/0203 (2013.01); G05D 2201/0217 (2013.01); Y10S 901/01 (2013.01);
Abstract

Described is a system for robot supervisory control. The system includes an operator device that receives camera imagery from a camera mounted on a robot and three-dimensional (3D) data from a 3D sensor mounted on the robot. The user interface displays a two-dimensional (2D) view of the scene from the camera and 3D sensor data. One or more object markers of objects in the scene are overlaid on the 2D view or 3D sensor data. Viewing the scene, the user can choose a robotic action from a library of actions, which generates a simulation of the robot performing the selected action. The simulation is then rendered and overlaid on top of the 3D sensor data. Moreover, the simulation shows the expected variability of the robot's action. Based on the simulation's outcome, the user can approve and trigger the execution of the action in the real robot.


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