Fuzzy systems theory and its applications
Fuzzy systems theory and its applications
Mobile robot simulation of clinical laboratory deliveries
Proceedings of the 30th conference on Winter simulation
A multiple cooperating intelligent agents project progress repost
CSC '88 Proceedings of the 1988 ACM sixteenth annual conference on Computer science
Experiences with an interactive museum tour-guide robot
Artificial Intelligence - Special issue on applications of artificial intelligence
A Social Robot that Stands in Line
Autonomous Robots
Jijo-2: An Office Robot that Communicates and Learns
IEEE Intelligent Systems
Finding predominant word senses in untagged text
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
An intelligent framework for simulating robot-assisted surgical operations
Expert Systems with Applications: An International Journal
Classifier optimization and combination in the English all words task
SENSEVAL '01 The Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems
Hi-index | 0.00 |
Service robots are used by ordinary people in their houses and offices. For such users, a desirable way to communicate with robots is through natural language interfaces. So far, techniques for developing robot natural language interfaces are far from mature. A major challenge is handling ambiguity, uncertainty, and vagueness in parsing, object resolution, and vague natural language words. In this research, we develop a new approach called the collaborative behavior-based approach, in which behaviors of robots and behaviors of human users, as well as the changes of object states caused by the behaviors, are taken into consideration integratedly in processing natural language user instructions. In this paper, we analyze the special features of a human-robot interface that may affect language understanding, describe our approach that is designed based on the features, and present the implementation and some experimental results.