Human-robot interaction through spoken language dialogue

IEEE International Conference on Intelligent Robots and Systems

Volumn 1, Issue , 2000, Pages 528-534

  Lopes, L S ^a   Teixeira, A ^a  

^a UNIVERSITY OF AVEIRO   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER HARDWARE; COMPUTER VISION; CONTROL SYSTEM SYNTHESIS; INTELLIGENT ROBOTS; MAN MACHINE SYSTEMS; ROBOTICS; USER INTERFACES;

BODY AND SOUL; COMMUNICATION,ACTION,REASONING AND LEARNING IN ROBOTICS; HUMAN-ROBOT INTERACTION; SENSORY MOTOR SKILL; SPOKEN LANGUAGE DIALOGUE;

MOBILE ROBOTS;

EID: 0034448735     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (30)

1. Socially embedded learning of the office-conversant mobile robot Jijo-2
2. The natural language processing modules in REWARD and IntelliMedia 2000+
3. The CPK NLP suite for spoken language understanding
4. A platform for developing intelligent multimedia applications
5. Experiences with an interactive museum tour-guide robot
6. Task hierarchies representing sub-dialogs in speech dialog systems
7. "Natural dialogue with the JIJO-2" office robot
8. Interleaving planning and robot execution for asynchronous user requests
9. The symbol grounding problem
10. Learning procedures from interactive natural language instructions
11. Toward automatic instruction from perception: Recognizing a grasp from observation
12. Mobile manipulation: The robotic assistant
13. Agent communication languages: The current landscape
14. Task-level planning of pick and place robot motions
15. Grounding symbols through sensorymotor integration
16. "The talking computer": Text to speech synthesis
17. Failure recovery planning in assembly based on acquired experience: Learning by analogy
18. Feature transformation strategies for a robot learning problem
19. Teaching behavioral and task knowledge to robots through spoken dialogues
20. Issues in spoken dialogue systems: Experiences with the Dutch ARISE system
21. Computing machinery and intelligence
22. How do users know what to say?