Invention Grant
- Patent Title: Machines with feeling analogues
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Application No.: US17210463Application Date: 2021-03-23
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Publication No.: US12118449B2Publication Date: 2024-10-15
- Inventor: Antonio Damasio , Kingson Man
- Applicant: University of Southern California
- Applicant Address: US CA Los Angeles
- Assignee: University of Southern California
- Current Assignee: University of Southern California
- Current Assignee Address: US CA Los Angeles
- Agency: Nixon Peabody LLP
- Main IPC: G06N3/02
- IPC: G06N3/02 ; G06N3/008 ; G06N3/045 ; G06N3/06 ; G06N3/065

Abstract:
A system includes a housing, sensors, actuators, and a processing device. The housing is formed of material that is soft, flexible, stretchable, deformable, or any combination of thereof. Each sensor is disposed on a surface of the housing, disposed at least partially inside the housing, or positioned spaced apart from the housing, and are configured to generate data associated with physical properties of the housing an environment external to the housing. The processing device is configured to implement a neural network having one or more inputs and one or more outputs. The inputs include the data associated with the physical properties of the housing and the data associated with the environment external to the housing. The outputs are based on the data associated the physical properties of the housing and the data associated with the environment external to the housing.
Public/Granted literature
- US20210295131A1 DESIGN OF MACHINES WITH FEELING ANALOGUES Public/Granted day:2021-09-23
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