Rule based Intention Generalization through Human-Robot Interaction

Title data

Awais, Muhammad ; Henrich, Dominik:
Rule based Intention Generalization through Human-Robot Interaction.
In: ROBOTIK 2012; 7th German Conference on Robotics. - München , 2012 . - pp. 1-6

Official URL:

Abstract in another language

Humans have the capability of concept generalization. They can generalize an operation specific to an object on different objects present in the scene. In this paper we introduce a novel approach of rule based human intention generalization. The generalization is performed through Human-Robot Interaction (HRI) by inducing the rules online. The online rule induction corresponds to the performed human action on a known object with known characteristics. The novel generalization of an induced rule is performed based on the acceptance, rejection or correction by the human in response to the robot reaction while HRI. A novel method of conflict resolution is also proposed for the generalized rules. The experiments performed for the rule based intention generalization and online rule induction include teaching the robot of a specialized human intention. The robot tries to generalize the taught human intention by applying the actions on the related objects. The robot generalizes the human intention while HRI, based on acceptance, rejection or correction by the human. The intention generalization is performed by embedding the generalized rule into the probabilistic finite state machine. A finite state machine represents a human intention.

Further data

Item Type:	Article in a book
Refereed:	Yes
Keywords:	Humans; Silicon; Probabilistic logic; Automata; Human-robot interaction; Training
Institutions of the University:	Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III > Chair Applied Computer Science III - Univ.-Prof. Dr. Dominik Henrich
Result of work at the UBT:	Yes
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science
Date Deposited:	20 Feb 2025 12:32
Last Modified:	20 Feb 2025 12:32
URI:	https://eref.uni-bayreuth.de/id/eprint/92495