SYSTEM AND METHOD FOR FLEXIBLE HUMAN-MACHINE COLLABORATION

Patent №

US 9,272,418

Granted

2016-03-01

Filed 2014

Owner

THE JOHNS HOPKINS UNIVERSITY

Lab

AI components

3

kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14475184

Methods and systems for enabling human-machine collaborations includes a generalizable framework that supports dynamic adaptation and reuse of robotic capability representations and human-machine collaborative behaviors. Specifically, a computer-implemented method of enabling user-robot collaboration includes providing a composition of user interaction capabilities and a robot capability that models a functionality of a robot for performing a type of task action based on a set of parameters; specializing the robot capability with an information kernel that encapsulates the set of parameters; providing a robot capability element based on the robot capability and the information kernel and interaction capability elements based on the user interaction capabilities; connecting the robot capability element to the interaction capability elements; providing, based on the interaction capability elements, user interfaces to acquire user input associated with the set of parameters; and controlling, based on the user input and the information kernel, the functionality of the robot via the robot capability element to perform a task action of the type of task action.

Knowledge representationPlanningAI hardwareB25J 9/1664B25J 9/1628B25J 9/163B25J 9/1661B25J 13/00G05B 2219/33051G05B 2219/36422G05B 2219/39365+7 more

AI classification

Planning1.00
Knowledge representation0.98
AI hardware0.97
Vision0.08
Machine learning0.02
Natural language0.01
Speech0.00
Evolutionary computation0.00

Ownership

THE JOHNS HOPKINS UNIVERSITY

assignment · 357070380

Assignors

GUERIN, KELLEHER, HAGER, GREGORY D, RIEDEL, SEBASTIAN

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

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