MULTI-SITE DAMAGE SENSING AND LOCALIZATION SOFT-MATTER ELECTRONICS AND RELATED SYSTEMS AND METHODS

Patent №

US 11,682,276

Granted

2023-06-20

Filed 2020

Owner

CARNEGIE MELLON UNIVERSITY

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17095564

Soft-matter technologies are essential for emerging applications in wearable computing, human-machine interaction, and soft robotics. However, as these technologies gain adoption in society and interact with unstructured environments, material and structure damage becomes inevitable. A robotic material that mimics soft tissues found in biological systems may be used to identify, compute, and respond to damage. This material includes liquid metal droplets dispersed in soft elastomers that rupture when damaged to create electrically conductive pathways that are identified with a soft active-matrix grid. These technologies may be used to autonomously identify damage, calculate severity, and respond to prevent failure within robotic systems.

Machine learningAI hardwareC08L 75/04G08B 7/06B05D 1/02B05D 1/322C08G 77/04C08K 3/08C08K 3/10C08L 83/04+6 more

AI classification

AI hardware1.00
Machine learning0.57
Vision0.05
Evolutionary computation0.00
Planning0.00
Knowledge representation0.00
Natural language0.00
Speech0.00

Ownership

CARNEGIE MELLON UNIVERSITY

assignment · 544420666

Assignors

MAJIDI, CARMEL, BARTLETT, MICHAEL D, MARKVICKA, ERIC J

On an employer assignment, the assignors are typically the inventors.

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