Which Object Comes Next? Grounded Order Completion by a Humanoid Robot

1. Chapelle, O., Y. Chang, T. Liu. Future Directions in Learning to Rank. - In: JMLR: Workshop and Conference Proceedings, Vol. 14 , 91-100.Search in Google Scholar

2. Ebeling, K., S. Gelman. Coordination of Size Standards By Young Children. - Child Development, Vol. 59, No 4, 1988, 888-896.10.2307/1130256Search in Google Scholar

3. Ebeling, K., S. Gelman. Children’s Use of Context in Interpreting Big And Little. - Child Development, Vol. 65, No 4, 1994, 1178-1192.10.1111/j.1467-8624.1994.tb00811.xSearch in Google Scholar

4. Forssén , P., D. Meger, K. Lai, S. Helmer, J. Little, D. Lowe. Informed Visual Search: Combining Attention And Object Recognition. - In: Proc. of IEEE International Conference on Robotics and Automation (ICRA), 935-942.Search in Google Scholar

5. Freund, Y., R. Schapire. A Desicion-Theoretic Generalization of On-Line Learning And an Application to Boosting. - In: Computational learning theory, Springer, 23-37.10.1007/3-540-59119-2_166Search in Google Scholar

6. Graham, F., C. Ernhart, M. Craft, P. Berman. Learning of Relative And Absolute Size Concepts in Preschool Children. - Journal of Experimental Child Psychology, Vol. 1, No 1, 1964, 26-36.10.1016/0022-0965(64)90004-9Search in Google Scholar

7. Hagmann-von Arx, P., C. Meyer, A. Grob. Assessing Intellectual Giftedness With The WISC-IV And The IDS. - Zeitschrift für Psychologie, Vol. 216, No 3, 2008, 172-179.10.1027/0044-3409.216.3.172Search in Google Scholar

8. Kaufman, A.. Intelligent Testing With the WISC-III. John Wiley & Sons, 1994.Search in Google Scholar

9. Kemp, C., J. Tenenbaum. The Discovery of Structural Form. - Proceedings of the National Academy of Sciences, Vol. 105, No 31, 2008, 10687-10692.10.1073/pnas.0802631105249275618669663Search in Google Scholar

10. Lillard, A.. Montessori: The Science Behind the Genius. Oxford University Press, USA, 2008.Search in Google Scholar

11. Lillard, A., N. Else-Quest. The Early Years: Evaluating Montessori. - Science, Vol. 313, No 5795, 2006, 1893-1894.10.1126/science.113236217008512Search in Google Scholar

12. Montessori, M.. The Montessori Method. Frederick A. Stokes Co., 1912.Search in Google Scholar

13. Nakamura, T., T. Nagai, N. Iwahashi. Multimodal Object Categorization by a Robot. - In: Proceedings of the IEEE/RSJ IROS, 2415-2420.Search in Google Scholar

14. Natale, L., G. Metta, G. Sandini. Learning Haptic Representation of Objects. - In: Proc. of the Intl. Conf. on Intelligent Manipulation and Grasping.Search in Google Scholar

15. Nolfi, S., D. Marocco. Active Perception: A Sensorimotor Account of Object Categorization. - In: From Animals to Animats: 7, 266-271.Search in Google Scholar

16. Pitamic, M.. Teach Me to Do It Myself. Elwin Street Productions, 2004.Search in Google Scholar

17. Sinapov, J., T. Bergquist, C. Schenck, U. Ohiri, S. Griffith, A. Stoytchev. Interactive Object Recognition Using Proprioceptive And Auditory Feedback. - The Intl. J. of Robotics Research, Vol. 30, No 10, 2011, 1250-1262.10.1177/0278364911408368Search in Google Scholar

18. Sinapov, J., A. Stoytchev. Detecting the Functional Similarities Between Tools Using a Hierarchical Representation of Outcomes. - In: Proceedings of the 7th IEEE International Conference on Development and Learning (ICDL), 91-96.Search in Google Scholar

19. Sinapov, J., A. Stoytchev. The Odd One Out Task: Toward an Intelligence Test for Robots. - In: Proceedings of the 9th IEEE International Conference on Development and Learning (ICDL), 126-131.Search in Google Scholar

20. Sinapov, J., A. Stoytchev. Object Category Recognition by a Humanoid Robot Using Behavior-Grounded Relational Learning. - In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 184-190.Search in Google Scholar

21. Sinapov, J., V. Sukhoy, R. Sahai, A . Stoytchev. Vibrotactile Recognition and Categorization of Surfaces by a Humanoid Robot. - Robotics, IEEE Transactions on, Vol. 27, No 3, 2011, 488-497.10.1109/TRO.2011.2127130Search in Google Scholar

22. Sugarman, S.. The Cognitive Basis of Classification in Very Young Children: An Analysis of Object-Ordering Trends. - Child Development, Vol. 52, No 4, 1981, 1172-1178.10.2307/1129503Search in Google Scholar

23. Sun, J., J. Moore, A. Bobick, J. Rehg. Learning Visual Object Categories for Robot Affordance Prediction. - The Intl. J. of Robotics Research, Vol. 29, No 2-3, 2010, 174.10.1177/0278364909356602Search in Google Scholar

24. Takamuku, S., K. Hosoda, M. Asada. Object Category Acquisition by Dynamic Touch. - Advanced Robotics, Vol. 22, No 10, 2008, 1143-1154.10.1163/156855308X324820Search in Google Scholar

25. Tenenbaum, J., V. De Silva, J. Langford. A Global Geometric Framework for Nonlinear Dimensionality Reduction. - Science, Vol. 290, No 5500, 2000, 2319-2323.10.1126/science.290.5500.231911125149Search in Google Scholar