Going beyond literal command-based instructions: Extending robotic natural language interaction capabilities

Proceedings of the National Conference on Artificial Intelligence

Volumn 2, Issue , 2015, Pages 1387-1393

  Williams, Tom ^a   Briggs, Gordon ^a   Oosterveld, Bradley ^a   Scheutz, Matthias ^a  

^a TUFTS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL LINGUISTICS; INFERENCE ENGINES; LINGUISTICS; ROBOTICS; ROBOTS; SEMANTICS;

COGNITIVE ROBOTICS; INFERENCE ALGORITHM; NATURAL LANGUAGE INTERACTION; NATURAL LANGUAGES; ROBOTIC ARCHITECTURES; TASK-BASED;

HUMAN ROBOT INTERACTION;

EID: 84959886046     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Brick, T.; Schermerhorn, P.; and Scheutz, M. 2007. Speech and action: Integration of action and language for mobile robots. In Proceedings of the 2007IEEE/RSJ International Conference on Intelligent Robots and Systems, 1423-1428.
2. Briggs, G., and Scheutz, M. 2012. Multi-modal belief updates in multi-robot human-robot dialogue interaction. In Proceedings of 2012 Symposium on Linguistic and Cognitive Approaches to Dialogue Agents.
3. Briggs, G., and Scheutz, M. 2013. A hybrid architectural approach to understanding and appropriately generating indirect speech acts. In Proceedings of the 27th AAAI Conference on Artificial Intelligence.
4. Chai, J. Y.; She, L.; Fang, R.; Ottarson, S.; Littley, C; Liu, C; and Hanson, K. 2014. Collaborative effort towards common ground in situated human-robot dialogue. In Proceedings of the 2014 ACM/IEEE International Conference on Human-robot Interaction, HRI '14, 33-40. New York, NY, USA: ACM.
5. Deits, R.; Tellex, S.; Kollar, T.; and Roy, N. 2013. Clarifying commands with information-theoretic human-robot dialog. JHRI.
6. Dzifcak, J.; Scheutz, M.; Barai, C; and Schermerhorn, P. 2009. What to do and how to do it: Translating natural language directives into temporal and dynamic logic representation for goal management and action execution. In Proceedings of the 2009 International Conference on Robotics and Automation.
7. Jing, G.; Finucane, C; Raman, V.; and Kress-Gazit, H. 2012. Correct high-level robot control from structured en-glish. In Robotics and Automation (ICRA), 2012 IEEE International Conference on, 3543-3544. IEEE.
8. Kruijff, G.-J. M.; Lison, P.; Benjamin, T.; Jacobsson, H.; Zender, H.; Kruijff-Korbayovâ, I.; and Hawes, N. 2010. Situated dialogue processing for human-robot interaction. In Cognitive Systems. Springer Berlin Heidelberg. 311-364.
9. Lemaignan, S.; Warnier, M.; Sisbot, A. E.; and Alami, R. 2014. Human-robot interaction: Tackling the ai challenges. Technical report.
10. Perrault, C. R., and Allen, J. F. 1980. A plan-based analysis of indirect speech acts. Computational Linguistics 6(3-4): 167-182.
11. Scheutz, M., and Schermerhorn, P. 2009. Affective goal and task selection for social robots. In Vallverdü, J., and Casacuberta. D., eds., The Handbook of Research on Synthetic Emotions and Sociable Robotics. IGI Global. 74-87.
12. Scheutz, M.; Schermerhorn, P.; Kramer, J.; and Anderson, D. 2007. First steps toward natural human-like HRI. Autonomous Robots 22(4):411-423.
13. Scheutz, M.; Briggs, G.; Cantrell, R.; Krause, E.; Williams, T.; and Veale, R. 2013. Novel mechanisms for natural human-robot interactions in the diarc architecture. In Proceedings of AAAI Workshop on Intelligent Robotic Systems.
14. Shafer, G. 1976. A Mathematical Theory of Evidence. Princeton University Press.
15. Tang, Y; Hang, C.-W.; Parsons, S.; and Singh, M. P. 2012. Towards argumentation with symbolic dempster-shafer evidence. In COMMA, 462-469.
16. Williams, T.; Nünez, R. C; Briggs, G.; Scheutz, M.; Pre-maratne, K.; and Murthi, M. N. 2014. A dempster-shafer theoretic approach to understanding indirect speech acts. Advances in Artificial Intelligence.
17. Wilske, S., and Kruijff, G.-J. 2006. Service robots dealing with indirect speech acts. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 4698-4703. IEEE.
18. Yager, R. R. 1987. On the dempster-shafer framework and new combination rules. Information sciences 41 (2):93-137.
19. Zadeh, L. A. 1979. On the validity of Dempster's rule of combination of evidence. Electronics Research Laboratory, University of California.