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:
May. 21, 2019

Filed:

Apr. 17, 2015
Applicants:

Softbank Robotics Europe, Paris, FR;

Institut National DE Recherche En Informatique ET En Automatique, Rocquencourt, FR;

Inventors:

Jory Lafaye, Paris, FR;

David Gouaillier, St Jean De Boiseau, FR;

Pierre-Brice Wieber, Grenoble, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 19/00 (2018.01); B25J 9/16 (2006.01); B25J 5/00 (2006.01); G05D 1/08 (2006.01);
U.S. Cl.
CPC ...
B25J 9/1669 (2013.01); B25J 5/007 (2013.01); B25J 9/1628 (2013.01); G05D 1/0891 (2013.01); G05D 2201/0217 (2013.01);
Abstract

A humanoid robot with a body joined to an omnidirectional mobile ground base, and equipped with: a body position sensor and a base position sensor to provide measures, actuators comprising at least 3 wheels located in the omnidirectional mobile base, extractors for converting the measures into useful data, a controller to calculate position, velocity and acceleration commands from the useful data using a robot model and pre-ordered position and velocity references, means for converting the commands into instructions for the actuators, wherein the robot model is a double point-mass model, and wherein the commands are based on a linear model predictive control law with a discretized time according to a sampling time period and a number of predicted samples, and expressed as a quadratic optimization formulation with: a weighted sum of objectives and a set of predefined linear constraints.


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