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:
Nov. 14, 2023

Filed:

Mar. 30, 2020
Applicant:

Dexterity, Inc., Redwood City, CA (US);

Inventors:

Kevin Jose Chavez, Woodside, CA (US);

Zhouwen Sun, Santa Clara, CA (US);

Rohit Arka Pidaparthi, Mountain View, CA (US);

Talbot Morris-Downing, Menlo Park, CA (US);

Harry Zhe Su, Union City, CA (US);

Ben Varkey Benjamin Pottayil, Santa Clara, CA (US);

Samir Menon, Palo Alto, CA (US);

Assignee:

Dexterity, Inc., Redwood City, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B25J 9/16 (2006.01); G06T 7/55 (2017.01); G06T 7/70 (2017.01); G06T 7/12 (2017.01); G06T 7/13 (2017.01);
U.S. Cl.
CPC ...
B25J 9/1697 (2013.01); B25J 9/1612 (2013.01); B25J 9/1674 (2013.01); B25J 9/1687 (2013.01); B25J 9/1689 (2013.01); B25J 9/1692 (2013.01); G06T 7/12 (2017.01); G06T 7/13 (2017.01); G06T 7/55 (2017.01); G06T 7/70 (2017.01); G06T 2207/10028 (2013.01);
Abstract

A set of one or more potentially graspable features for one or more objects present in a workspace area are determined based on visual data received from a plurality of cameras. For each of at least a subset of the one or more potentially graspable features one or more corresponding grasp strategies are determined to grasp the feature with a robotic arm and end effector. A score associated with a probability of a successful grasp of a corresponding feature is determined with respect to each of a least a subset of said grasp strategies. A first feature of the one or more potentially graspable features is selected to be grasped using a selected grasp strategy based at least in part on a corresponding score associated with the selected grasp strategy with respect to the first feature. The robotic arm and the end effector are controlled to attempt to grasp the first feature using the selected grasp strategy.


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