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	Refereed Journal Articles [9] D. Kulić and Y. Nakamura, Incremental Learning and Memory Consolidation of Whole Body Human Motion Primitives, Adaptive Behavior, Vol. 17, No. 6, pp. 484-507, 2009. link [8] D. Kulić, W. Takano and Y. Nakamura, On-line segmentation and clustering from continuous observation of whole body motions, IEEE Transactions on Robotics, Vol. 25, No. 5, pp. 1158 - 1166, 2009. link [7] C. Bartneck, D. Kulić, E. Croft and S. Zhogbi, Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots, International Journal of Social Robotics, Vol. 1, No. 1, pp. 71 – 81, 2009. link [6] D. Kulić, W. Takano and Y. Nakamura, Incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains, International Journal of Robotics Research, Vol. 27, No. 7, pp. 761 – 784, 2008. link [5] D. Kulić and E. Croft, Affective State Estimation for Human-Robot Interaction, IEEE Transactions on Robotics, Vol. 23, No. 5, pp. 991 – 1000, 2007. link [4] D. Kulić and E. Croft, Pre-Collision Safety Strategies for Human-Robot Interaction, Autonomous Robots, Vol. 22, No. 2, pp. 149 – 164, 2007. link [3] D. Kulić and E. Croft, Physiological and Subjective Responses to Articulated Robot Motion, Robotica, Vol. 25, No. 1, pp. 13 – 27, 2007. link [2] D. Kulić and E. Croft, Safety Based Control Strategy For Human-Robot Interaction, Journal of Robotics and Autonomous Systems, Vol. 54, No. 1, pp. 1 – 12, 2006. link [1] D. Kulić and E. Croft, Safe Planning for Human-Robot Interaction, Journal of Robotic Systems, Vol. 22, No. 7, pp. 383 – 396, 2005. pdf Refereed Conference Articles [25] D. Kulić, H. Imagawa and Y. Nakamura, Online Acquisition and Visualization of Motion Primitives for Humanoid Robots, IEEE International Symposium on Robot and Human Interactive Communication, pp. 1210 - 1215, 2009. pdf [24] D. Kulić and Y. Nakamura, Comparative Study of Representations for Segmentation of Whole Body Human Motion Data, IEEE International Conference on Intelligent Robots and Systems, 2009, Accepted for Publication. [23] S. Zhogbi, D. Kulić, E. Croft and M. Van der Loos, On Line – Affective State Reporting Device: A Tool for Evaluating Affective State Inference Systems, IEEE International Conference on Intelligent Robots and Systems, 2009, Accepted for Publication. [22] D. Kulić, G. Venture and Y. Nakamura, Detecting Changes in Motion Characteristics during Sports Training, IEEE Engineering in Medicine and Biology Conference, pp. 4011 - 4014, 2009. pdf [21] G. Venture, K. Ayusawa, D. Kulić and Y. Nakamura, Monitoring the Segment Parameters During Long Term Physical Training from Motion Capture Data, IEEE Engineering in Medicine and Biology Conference, pp. 5247 - 5250, 2009. pdf [20] D. Kulić, D. Lee and Y. Nakamura, Whole Body Motion Primitive Segmentation from Monocular Video, IEEE International Conference on Robotics and Automation, pp. 3166 - 3172, 2009. pdf [19] D. Kulić, D. Lee, C. Ott and Y. Nakamura, Incremental Learning of Full Body Motion Primitives for Humanoid Robots, IEEE International Conference on Humanoid Robots, pp. 326 – 332, 2008. pdf [18] D. Kulić and Y. Nakamura, Scaffolding On-line Segmentation of Fully Body Human Motion Patterns, IEEE International Conference on Intelligent Robots and Systems, pp. 2860 – 2866, 2008. pdf [17] D. Kulić and Y. Nakamura, Incremental Learning and Memory Consolidation of Whole Body Motion Patterns, International Conference on Epigenetic Robotics, pp. 61 – 68, 2008. pdf [16] D. Kulić, W. Takano and Y. Nakamura, Combining Automated On-Line Segmentation and Incremental Clustering for Whole Body Motions, IEEE International Conference on Robotics and Automation, pp. 2591 – 2598, 2008. pdf [15] D. Lee, D. Kulić and Y. Nakamura, Missing Motion Data Recovery using Factorial Hidden Markov Models, IEEE International Conference on Robotics and Automation, pp. 1722 – 1728, 2008. pdf [14] C. Bartneck, D. Kulić and E. Croft, Measuring the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots, Metrics for Human-Robot Interaction Workshop (in conjunction with the ACM/IEEE International Conference on Human-Robot Interaction), pp. 37 – 44, 2008. pdf [13] D. Kulić, W. Takano and Y. Nakamura, Towards Lifelong Learning and Organization of Whole Body Motion Patterns, International Symposium of Robotics Research, pp. 113 – 124, 2007. pdf [12] D. Kulić, W. Takano and Y. Nakamura, Incremental Learning of Full Body Motions via Adaptive Factorial Hidden Markov Models, International Conference on Epigenetic Robotics, pp. 69 – 76, 2007. pdf [11] D. Kulić, W. Takano and Y. Nakamura, Representability of Human Motions by Factorial Hidden Markov Models, IEEE International Conference on Intelligent Robots and Systems, pp. 2388 – 2393, 2007. pdf [10] K. Radkah, D. Kulić and E. Croft, Dynamic Parameter Identification for the CRS A460 Robot, IEEE International Conference on Intelligent Robots and Systems, pp. 3842 – 3847, 2007. pdf [9] W. Takano, D. Kulić and Y. Nakamura, Interactive Topology Formation of Linguistic Space and Motion Space, IEEE International Conference on Intelligent Robots and Systems, pp. 1416 – 1422, 2007. pdf [8] D. Kulić, W. Takano and Y. Nakamura, Incremental On-line Hierarchical Clustering of Whole Body Motion Patterns, IEEE International Symposium on Robot and Human Interactive Communication, pp. 1016 – 1021, 2007. pdf [7] D. Kulić and E. Croft, Mechatronic System Integration for Senior Students, ASME International Mechanical Engineering Congress and Exposition, pp. 1 – 9, 2006. pdf [6] D. Kulić and E. Croft, Estimating Robot Induced Affective State using Hidden Markov Models, IEEE International Symposium on Robot and Human Interactive Communication, pp. 257 – 262, 2006. pdf [5] D. Kulić and E. Croft, Anxiety Detection for Human Robot Interaction, IEEE International Conference on Intelligent Robots and Systems, pp. 389 – 394, 2005. pdf [4] D. Kulić and E. Croft, Real-time Safety for Human Robot Interaction, IEEE International Conference on Advanced Robotics, pp. 719 – 724, 2005. pdf [3] D. Kulić and E. Croft, Safe Planning for Human Robot Interaction, IEEE International Conference on Robotics and Automation, pp. 1882 – 1887, 2004. pdf [2] D. Kulić and E. Croft, Strategies for Safety in Human Robot Interaction, IEEE International Conference on Advanced Robotics, pp. 644 – 649, 2003. pdf [1] D. Kulić and E. Croft, Estimating Intent for Human Robot Interaction, IEEE International Conference on Advanced Robotics, pp. 810 – 815, 2003. pdf Book Chapter D. Kulić and E. Croft, Safe motion planning for human-robot interaction: design and experiments, In: Mobile Robots Moving Intelligence, V. Kordic, A. Lazinica and M. Merdan (Eds.) Advanced Robotic Systems, Vienna, Austria, pp. 149 – 170, 2006. Conference Presentations [9] S. Zhogbi, D. Kulić, E. Croft and M. Van der Loos, On Line – Affective State Reporting Device: A Tool for Evaluating Affective State Inference Systems, IEEE/ACM International Conference on Human-Robot Interaction, 2009. [8] D. Kulić, H. Imagawa and Y. Nakamura, On-line Abstraction and Visualization of Full Body Motions, Robotics Symposia, pp. 374 – 379, 2009. (In Japanese) pdf [7] D. Kulić, D. Lee, C. Ott and Y. Nakamura, Control System Study at IRT Research Initiative of University of Tokyo – Incremental Learning of Whole Body Motion Primitives of Humans, Annual Conference of the Robotics Society of Japan, 2008. (In Japanese) pdf [6] D. Kulić, W. Takano and Y. Nakamura, Incremental symbol-formation, clustering and self-organization of whole body motion patterns, JSME Conference on Robotics and Mechatronics, 1P1–G21, 2008. (In Japanese) pdf [5] D. Lee, D. Kulić and Y. Nakamura, Whole Motion Recovery from Partial Observation Data using Factorial Hidden Markov Models, JSME Conference on Robotics and Mechatronics, 1P1–G20, 2008. (In Japanese) pdf [4] W. Takano, D. Kulić and Y. Nakamura, Formation of Topological Linguistic Space based on Stochastic Reference between Motion Symbols and Words, JSME Conference on Robotics and Mechatronics, 2A1–E19, 2008. (In Japanese) pdf [3] D. Kulić, W. Takano and Y. Nakamura, Poster presentation on Incremental On-line Hierarchical Clustering of Whole Body Motion Patterns, ESF–JSPS Conference on Experimental Cognitive Robotics, 2008. [2] W. Takano, D. Kulić and Y. Nakamura, Embodied Communication based on Identification and Control of Physical Interaction, Annual Conference of the Robotics Society of Japan, 2007. (In Japanese) [1] D. Kulić, Poster and Demonstration on Intent Based Human Robot Interaction. Advanced Systems Institute Exchange, 2003. Thesis D. Kulić, Safety for Human–Robot Interaction. Ph.D. Thesis. University of British Columbia, 2005. pdf