Johns Hopkins University

Sebastian Riedel

Gregory Donald Hager

Kelleher Guerin

Methods and systems for enabling human-machine collaborations include a generalizable framework that supports dynamic adaptation and reuse of robotic capability representations and human-machine collaborative behaviors. Specifically, a method of feedback-enabled user-robot collaboration includes obtaining a robot capability that models a robot's functionality for performing task actions, specializing the robot capability with an information kernel that encapsulates task-related parameters associated with the task actions, and providing an instance of the specialized robot capability as a robot capability element that controls the robot's functionality based on the task-related parameters. The method also includes obtaining, based on the robot capability element's user interaction requirements, user interaction capability elements, via which the robot capability element receives user input and provides user feedback, controlling, based on the task-related parameters, the robot's functionality to perform the task actions in collaboration with the user input; and providing the user feedback including task-related information generated by the robot capability element in association with the task actions.

System and method for flexible human-machine collaboration

Methods and systems for enabling human-machine collaborations include a generalizable framework that supports dynamic adaptation and reuse of robotic capability representations and human-machine collaborative behaviors. Specifically, a method of enabling user-robot collaboration includes providing a composition of a robot capability that models a robot's functionality for performing a type of task action and user interaction capabilities; specializing the robot capability with an information kernel to provide a specialized robot capability, the information kernel encapsulating a set of task-related parameters associated with the type of task action; providing an instance of the specialized robot capability as a robot capability element that controls the robot's functionality based on the set of task-related parameters; providing instances of the user interaction capabilities as interaction capability elements; executing the robot capability element to receive user input via the user interaction capability elements; and controlling, based on the user input and the set of task-related parameters, the robot's functionality to perform a task action of the type of task action in collaboration with the user input.

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.

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Bayem, Germany

Sebastian Riedel