Goal tracking in a natural language interface: towards achieving adjustable autonomy

20 January 2003

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 208-213
https://doi.org/10.1109/cira.1999.810050

Abstract

Intelligent mobile robots that interact with humans must exhibit adjustable autonomy; that is, the ability to dynamically adjust the level of self-sufficiency of an agent depending on the situation. When intelligent robots require close interactions with humans, they will require modes of communication that enhance the ability for humans to communicate naturally and that allow greater interaction, as well as adapt as a team member or sole agent in achieving various goals. Our previous work examined the use of multiple modes of communication, specifically natural language and gestures, to disambiguate the communication between a human and a robot. In this paper, we propose using context predicates to keep track of various goals during human-robot interactions. These context predicates allow the robot to maintain multiple goals, each with possibly different levels of required autonomy. They permit direct human interruption of the robot, while allowing the robot to smoothly return to a high level of autonomy.

Keywords

This publication has 3 references indexed in Scilit:

Integrating natural language and gesture in a robotics domain
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
The CommandTalk spoken dialogue system
Published by Association for Computational Linguistics (ACL) ,1999
MODELING SOCIALLY INTELLIGENT AGENTS
Applied Artificial Intelligence, 1998