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:
Mar. 19, 2019

Filed:

Apr. 17, 2015
Applicants:

Softbank Robotics Europe, Paris, FR;

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

Inventors:

Jory Lafaye, Paris, FR;

Cyrille Collette, Le Plessis Robinson, FR;

Pierre-Brice Wieber, Grenoble, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/00 (2006.01); B25J 9/16 (2006.01); B25J 5/00 (2006.01); G05D 1/08 (2006.01);
U.S. Cl.
CPC ...
B25J 9/162 (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, equipped with: a body position sensor, a base position sensor and an angular velocity sensor to provide measures, actuators comprising at least 3 wheels located in the omnidirectional mobile base, extractors for converting sensored measures into useful data, a supervisor to calculate position, velocity and acceleration commands from the useful data, means for converting commands into instructions for the actuators, wherein the supervisor comprises: a no-tilt state controller, a tilt state controller and a landing state controller, each controller comprising means for calculating, position, velocity and acceleration commands based on a double point-mass robot model with tilt motion and on a linear model predictive control law, expressed as a quadratic optimization formulation with a weighted sum of objectives, and a set of predefined linear constraints.


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