References
- [1] J. Cheng, W. Bian, and D. Tao, Locally regularized sliced inverse regression based 3D hand gesture recognition on a dance robot, Information Sciences, vol. 221, 2013, pp. 274-283.
- [2] F. Yamaoka, T. Kanda, H. Ishiguro, and N. Hagita, A Model of Proximity Control for Information-Presenting Robots, IEEE Transactions on Robotics, vol. 26, no. 1, 2010, pp. 187-195.
- [3] T. R. Gruber, A Translation Approach to Portable Ontologies, Knowledge Acquisition, vol. 5, 1993, pp. 199-220.
- [4] F. Brown, A. Agah, J. Gauch, T. Schreiber, and S. Speer, Ambiguity Resolution in Natural Language Understanding, Active Vision, Memory Retrieval, and Robot Reasoning and Actuation, in Proc. of the IEEE International Conference on Systems, Man, and Cybernetics, 1999, pp. 988-993.
- [5] H. Yanco and J. Drury, Classifying Human-Robot Interaction: An Updated Taxonomy, in Proc. of the IEEE SMC 2004 International Conference on Systems, Man and Cybernetics, 2004, pp. 2841-2846.
- [6] H. Yanco, M. Baker, B. Keyes, and P. Thoren, Analysis of Human-Robot Interaction for Urban Search and Rescue, in Proc. of PERMIS, 2006.
- [7] J. Casper and R. R. Murphy, Human-robot interactions during the robot-assisted urban search and rescue response at the World Trade Center, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 33, no. 3, 2003, pp. 367-385.
- [8] G. Bekey, R. Ambrose, V. Kumar, A. Sanderson, B. Wilcox, and Y. Zheng, Final Report, World Technology Evaluation Center, Inc. Panel on International Assessment of Research and Development in Robotics, 2006.
- [9] S. Tellex and D. Roy, Spatial Routines for a Simulated Speech-Controlled Vehicle, in Proc. of the 2006 ACM Conference on Human-Robot Interaction, 2006, pp.156-163.
- [10] C. Sidner, C. Lee, L. Morency, and C. Forlines, The Effect of Head-Nod Recognition in Human-Robot Conversation, in Proc. of the 2006 ACM Conference on Human-Robot Interaction, 2006, pp. 290-296.
- [11] O. Khatib, M. Peshkin, and Y. Matsuoka, pHRI - physical Human-Robot Interaction, in Proc. of the World Technology Evaluation Center, Inc. Workshop: Review of U.S. Research in Robotics, 2004.
- [12] J. Hertzberg and A. Saffiotti, Using semantic knowledge in robotics, Robotics and Autonomous Systems, vol. 56, no. 11, 2008, pp. 875-877.
- [13] G. Randelli, Improving Human-Robot Awareness through Semantic-driven Tangible Interaction, Ph.D. Thesis, Sapienza University of Rome, 2011.
- [14] J. Marciniak and Z. Vetulani, Ontology of Spatial Concepts in a Natural Language Interface for a Mobile Robot, Applied Intelligence, vol. 17, no. 3, 2002, pp. 271-274
- [15] M. Skubic, C. Bailey, and G. Chronis, A Sketch Interface for Mobile Robots, in Proc. of the IEEE International Conference on Systems, Man and Cybernetics, 2003, pp. 918-924.
- [16] G. J. M. Kruijff, H. Zender, P. Jensfelt, and H. I. Christensen, Situated dialogue and spatial organization: What, where... and why, International Journal of Advanced Robotic Systems, vol. 4, no. 2, 2007, pp. 125-138.
- [17] M. Hasanuzzaman, T. Zhang, V. Ampornaramveth, H. Gotoda, Y. Shirai, and H. Ueno, Adaptive visual gesture recognition for human-robot interaction using a knowledge-based software platform, Robotics and Autonomous Systems, vol. 55, no. 8, 2007, pp. 643-657.
- [18] J. Modayil and B. Kuipers, Bootstrap learning for object discovery, in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2004, pp. 742-747.
- [19] J. R. Curran, S. Clark, and J. Bos, Linguistically Motivated Large-Scale NLP with C&C and Boxer, in Proc. of the ACL 2007 Demo and Poster Sessions (Association for Computational Linguistics), 2007, pp. 33-36.
- [20] T. Matsuzaki, Y. Miyao, and J. Tsujii, Efficient HPSG parsing with supertagging and CFGfiltering, in Proc. of IJCAI-07, 2007.
- [21] R. Kaplan, S. Riezler, T. H. King, J. T. Maxwell III, A. Vasserman, and R. Crouch, Speed and accuracy in shallow and deep stochastic parsing, in Proc. of HLT and the 4th Meeting of NAACL, 2004.
- [22] S. Clark and J. R. Curran, Parsing the WSJ using CCG and log-linear models, in Proc. of ACL-04, 2004, pp. 104-111.
- [23] J. Hockenmaier, Data and Models for Statistical Parsing with Combinatory Categorial Grammar, Ph.D. thesis, University of Edinburg, 2003.
- [24] H. Kamp and U. Reyle, From Discourse to Logic; An Introduction to Model-theoretic Semantics of Natural Language, Formal Logic and DRT, Kluwer, Dordrecht, 1993.
- [25] A. Tyler and V. Evans, The Semantics of English Prepositions: Spatial Scenes, Embodied Meaning and Cognition, Cambridge University Press, Cambridge, 2003.
- [26] C.-R. Huang, N. Calzolari, A. Gangemi, A. Lenci, A. Oltramari, and L. Prevot (eds.), Ontology and the Lexicon: A Natural Language Processing Perspective, Cambridge, 2010.
- [27] Y. Kilicaslan and E. S. Guner, Filtering Machine Translation Results with Automatically Constructed Concept Lattices, in Proc. of 8th International Conference on Concept Lattices and Their Applications (CLA 2011), 2011, pp. 59-73.
- [28] P. Krajca, J. Outrata, and V. Vychodil, Parallel Recursive Algorithm for FCA. In: Proc. CLA 2008, 2008, pp. 71-82.
- [29] H. Takeda and N. Toyoaki, Some Theoretical Considerations on Integration of Ontologies, Nara Institute of Science and Technology, Japan, 1998.
- [30] R. Jackendoff, Semantic Structures, The MIT Press, 1990.
- [31] ROS, http://www.ros.org