Yuan Chen

US Patent:

20120118776, May 17, 2012

Filed:

Nov 11, 2010

Appl. No.:

12/944553

Inventors:

Donald Gringer - New York NY, US
Yuan Fang Chen - Forest Hills NY, US

International Classification:

B65D 79/00

US Classification:

206361, 206525

Abstract:

There is provided in a preferred embodiment of the present invention an improved packaging device comprising a plastic casing having a depressed compartment, a plurality of wings extending from the plastic casing and a connector to secure the wings of the plastic casing around the product. Preferably, the improved packaging device also includes a folding hanger that extends from the proximate end of the plastic casing, and is used to display the product.

US Patent:

20210293918, Sep 23, 2021

Filed:

Oct 29, 2020

Appl. No.:

17/084257

Inventors:

- Suwon-si, KR
Yuan CHEN - New York NY, US
Dae Won LEE - Princeton NJ, US
Colin PREPSCIUS - New York NY, US
Ibrahim Volkan ISLER - Saint Paul MN, US
Lawrence David JACKEL - Holmdel NJ, US
Hyunjune Sebastian SEUNG - Princeton NJ, US
Daniel Dongyuel LEE - Tenafly NJ, US

Assignee:

SAMSUNG ELECTRONICS CO., LTD. - Suwon-si

International Classification:

G01S 5/22
B25J 19/02

Abstract:

A method of collision localization on a robotic device includes obtaining audio signals from a plurality of acoustic sensors spaced apart along the robotic device; identifying, based on a collision being detected, a strongest audio signal; identifying a primary onset time for an acoustic sensor producing the strongest audio signal, the primary onset time being a time at which waves propagating from the collision reach the acoustic sensor producing the strongest audio signal; generating a virtual onset time set, by shifting a calibration manifold, based on the identified primary onset time, the calibration manifold representing relative onset times from evenly spaced marker locations on the robotic device to the plurality of acoustic sensors; determining scores for the marker locations based a standard deviation of elements in the virtual onset time set; and estimating a location of the collision based on a highest score of the determined scores.