Refereed Journal, Conference and Book Chapter contributions

2017

B. J. DeHart and D. Kulić , Legged Mechanism Design with Momentum Gains, IEEE International Conference on Humanoid Robots, 2017, Accepted for Publication. pdf

B. J. DeHart and D. Kulić , Quantifying Structural Balance using Momentum Gain, IEEE International Conference on Humanoid Robots, 2017, Accepted for Publication. pdf

V. Joukov and D. Kulić , Gaussian Process Based Model Predictive Controller for Imitation Learning, IEEE International Conference on Humanoid Robots, 2017, Accepted for Publication. pdf

T. T. Um, F. M. J. Pfister, D. Pichler, S. Endo, M. Lang, S. Hirche, U. Fietzek and D. Kulić , Data Augmentation of Wearable Sensor Data for Parkinson’s Disease Monitoring using Convolutional Neural Networks, International Conference on Multimodal Interaction, 2017, Accepted for Publication. pdf

V. Joukov, J. F. S. Lin and D. Kulić , Generalized Hebbian Algorithm for Wearable Sensor Rotation Estimation, IEEE International Conference on Intelligent Robots and Systems, pp. 2248 - 2253, 2017. pdf

V. Joukov, J. Cesić, K. Westermann, I. Marković, D. Kulić and I. Petrović, Human motion estimation on Lie groups using IMU measurements, IEEE International Conference on Intelligent Robots and Systems, pp. 1965 - 1972, 2017. pdf

T. T. Um, V. Babakeshizadeh and D. Kulić, Exercise Motion Classification from Large-Scale Wearable Sensor Data Using Convolutional Neural Networks, IEEE International Conference on Intelligent Robots and Systems, pp. 2385 - 2390, 2017. link


2016


D. Kulić, G. Venture, K. Yamane, E. Demircan, I. Mizuuchi and K. Mombaur, Anthropomorphic movement analysis and synthesis:  A survey of methods and applications, IEEE Transactions on Robotics, Vol. 32, No. 4, pp. 776 - 795, 2016. link

A. W. K. Lam, D. Verona-Marin, Y. Li, M. Fergenbaum and D. Kulić, Automated Rehabilitation System: Movement Measurement and Feedback for Patients and Physiotherapists in the Rehabilitation Clinic, Human Computer Interaction, Vol. 31, No. 3-4, pp. 294 - 334, 2016. link

Bonnet, V. Joukov, D. Kulić, P. Fraisse, N. Ramdani and G. Venture, Monitoring of Hip and Knee Joint Angles Using A Single Inertial Measurement Unit During Rehabilitation, IEEE Sensors Journal, Vol. 16, No. 6, pp. 1557 - 1564, 2016. link

J. F. S. Lin, M. Karg and D. Kulić, Movement Primitive Segmentation for Human Motion Modelling: A Framework for Analysis, IEEE Transactions on Human-Machine Systems, Vol. 46, No. 3, pp. 325 - 339, 2016. pdf link

R. Houmanfar, M. Karg and D. Kulić, Movement Analysis of Rehabilitation Exercises: Distance Metrics for Measuring Patient Progress, IEEE Systems Journal, Vol. 10, No. 3, pp. 1014 - 1025, 2016. link

SJ. Burton, A. A. Samadani, R. Gorbet and D. Kulić, Laban Movement Analysis and Affective Movement Generation for Robots and Other Near-Living Creatures, in Dance Notations and Robot Motion, J. P. Laumond and N. Abe (eds), Springer Tracts in Advanced Robotics, pp. 25 – 48, 2016.

J. F. S. Lin, V. Bonnet, A. M. Panchea, N. Ramdani, G. Venture and D. Kulić, Human Motion Segmentation using Cost Weights Recovered from Inverse Optimal Control, IEEE-RAS International Conference on Humanoid Robots, 2016, Accepted for Publication. pdf

J. Ćesić, V. Joukov, I. Petrović and D. Kulić, Full body human motion estimation on Lie groups using 3D marker position measurements, IEEE-RAS International Conference on Humanoid Robots, 2016, Accepted for Publication. pdf

S. Futamure, V. Bonnet, R. Dumas, D. Kulić and G. Venture, Dynamically consistent inverse kinematics framework using optimizations for human motion analysis, IEEE-RAS International Conference on Humanoid Robots, 2016, Accepted for Publication. pdf

J. F. S. Lin, V. Bonnet, V. Joukov, G. Venture and D. Kulić, Comparison of Kinematic and Dynamic Features for Human Motion Segmentation, NIH-IEEE Strategic Conference on Healthcare Innovations and Point of Care Technologies, 2016, Accepted for Publication.

V. Joukov, R. D'Souza and D. Kulić, Human pose estimation from imperfect sensor data via the Extended Kalman Filter, International Symposium on Experimental Robotics, 2016.

Z. Camlica, A. Hilal and D. Kulić, Feature Abstraction for Driver Behaviour Detection with Stacked Sparse Auto-encoders, IEEE International Conference on Systems, Man and Cybernetics, 2016, Accepted for Publication.

M. T. K. Chan, R. Gorbet, P. Beesley and D. Kulić, Interacting with Curious Agents: User experience with interactive sculptural systems, IEEE International Symposium on Robot and Human Interactive Communication, pp. 151 - 158, 2016. pdf

T. Aoki, J. F. S. Lin, D. Kulić and G. Venture, Segmentation of human upper body movement using multiple IMU sensors, IEEE Engineering in Medicine and Biology Conference, pp. 3163 - 3166, 2016. pdf

R. Kianifar, A. Lee, S. Raina and D. Kulić, Classification of Squat Quality with Inertial Measurement Units in the Single Leg Squat Mobility Test, IEEE Engineering in Medicine and Biology Conference, pp. 6273 - 6276, 2016. pdf

J. L. S. Waugh, A. Trinh, W. E. McIlroy, and D. Kulić, Online Learning of Gait Models for Calculation of Gait Parameters, IEEE Engineering in Medicine and Biology Conference, pp. 6146 - 6149, 2016. pdf

T. Um and D. Kulić, An Unsupervised Approach to Detecting and Isolating Athletic Movements, IEEE Engineering in Medicine and Biology Conference, pp. 6268 - 6272, 2016. pdf

V. Bonnet, G. Daune, V. Joukov, R. Dumas, P. Fraisse, D. Kulić, A. Seilles, S. Andary and G. Venture, A Constrained Extended Kalman Filter For Dynamically Consistent Inverse Kinematics and Inertial Parameters Identification, IEEE-RAS International Conference on Biomedical Robotics and Biomechatronics, pp. 952 - 957, 2016.pdf

C. Woo and D. Kulić, Manoeuvre Segmentation Using Smartphone Sensors, IEEE Intelligent Vehicles Symposium, pp. 572 - 577, 2016. pdf

K. Bogert, J. F. S. Lin, P. Doshi and D. Kulić, Expectation-Maximization for Inverse Reinforcement Learning with Hidden Data, International Conference on Autonomous Agents and Multiagent Systems, pp. 1034 - 1042, 2016.

2015

R. Gill, D. Kulić and C. Nielsen, Spline Path Following for Redundant Mechanical Systems, IEEE Transactions on Robotics, Vol. 31, No. 6, pp. 1378 - 1392, 2015. link

R. Gorbet, M. Memarian, M. Chan, D. Kulić and P. Beesley, Evolving Systems within Immersive Architectural Environments: New Research by the Living Architecture Systems Group, Next Generation Building, Vol. 2, No. 1, pp. 31 - 56, 2015.

C. Freeman, D. Kulić and O. Basir, An Evaluation of Classifier-Specific Filter Measure Performance for Feature Selection, Pattern Recognition, Vol. 48, No. 5, pp. 1812 - 1826, 2015. link

M. E. Karg, W. Seiberl, F. Kreuzpointner, J. P. Haas and D. Kulić, Clinical Gait Analysis: Comparing Explicit State Duration HMMs using a Reference-based Index, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 23, No. 2, pp. 1812 - 1826, 2015. link

V. Joukov, V. Bonnet, M. Karg, G. Venture and D. Kulić, Rhythmic EKF for Pose Estimation during Gait, IEEE-RAS International Conference on Humanoid Robots, pp. 1167 - 1172, 2015.pdf

J. F. S. Lin, A. Samadani and D. Kulić, Segmentation by Data Point Classification Applied to Forearm Surface EMG,  International Conference on Smart Wearable Devices and IoT for Health and Wellbeing Applications, 2015, Accepted for Publication.

R. Gill, D. Kulić and C. Nielsen, Path Following for Mobile Manipulators, International Symposium on Robotics Research, 2015. pdf

V. Joukov, V. Bonnet, G. Venture and D. Kulić, Constrained Dynamic Parameter Estimation using the Extended Kalman Filter, IEEE International Conference on Intelligent Robots and Systems, pp. 3654 – 3659, 2015. pdf

M. T. K. Chan, R. Gorbet, P. Beesley and D. Kulić, Curiosity-Based Learning Algorithm for Distributed Interactive Sculptural Systems, IEEE International Conference on Intelligent Robots and Systems, pp. 3435 - 3441, 2015. pdf

M. Memarian, R. Gorbet and D. Kulić, Modelling and Experimental analysis of a Novel Design for Soft Pneumatic Artificial Muscles, IEEE International Conference on Intelligent Robots and Systems, pp. 1718 – 1724, 2015. pdf

M. Memarian, R. Gorbet and D. Kulić, Control of Soft Pneumatic Finger-like Actuators for Affective Motion Generation, IEEE International Conference on Intelligent Robots and Systems, pp. 1691 – 1697, 2015. pdf

2014

A. Samadani, R. Gorbet and D. Kulić, Affective Movement Recognition based on Generative and Discriminative Stochastic Dynamic Models, IEEE Transactions on Human-Machine Systems, Vol. 44, No. 4, pp. 454 - 467, 2014. link

M. E. Karg, G. Venture, J. Hoey and D. Kulić, Human Movement Analysis as a Measure for Fatigue: A Hidden Markov-Based Approach, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 22, No. 3, pp. 470 - 481, 2014. link

J. F. S. Lin and D. Kulić, On-line Segmentation of Human Motion for Automated Rehabilitation Exercise Analysis, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 22, No. 1, pp. 168 - 180, 2014. link

J. F. S. Lin, V. Joukov and D. Kulić, Full-body multi-primitive segmentation using classifiers, IEEE-RAS International Conference on Humanoid Robots, 2014, Accepted for Publication.

A. Samadani and D. Kulić, Hand Gesture Recognition Based on Surface Electromyography, IEEE Engineering in Medicine and Biology Conference, pp. 4196 - 4199, 2014. pdf

V. Joukov, M. E. Karg and D. Kulić, Online Tracking of the Lower Body Joint Angles using IMUs for Gait Rehabilitation, IEEE Engineering in Medicine and Biology Conference, pp. 2310 - 2313, 2014. pdf

A. W. K. Lam, A. HajYasien and D. Kulić, Improving Rehabilitation Exercise Performance through Visual Guidance, IEEE Engineering in Medicine and Biology Conference, pp. 1735 - 1738, 2014. pdf

J. F. S. Lin, V. Joukov and D. Kulić, Human Motion Segmentation by Data Point Classification, IEEE Engineering in Medicine and Biology Conference, pp. 9 - 13, 2014. pdf

P. Fewzee, A. Samadani, D. Kulić and F. Karray, Max-Dependence Regression, IEEE International Joint Conference on Neural Networks, pp. 1652 - 1659, 2014.

B. J. DeHart and D. Kulić, Push Recovery and Online Gait Generation for 3D Bipeds with the Foot Placement Estimator, IEEE International Conference on Robotics and Automation, pp. 1937 - 1942, 2014. pdf

2013

M. E. Karg, A. Samadani, R. Gorbet, K. Kuehnlenz, J. Hoey and D. Kulić, Body Movements for Affective Expression: A Survey of Automatic Recognition and Generation, IEEE Transactions on Affective Computing, Vol. 4, No. 4, pp. 341 - 359, 2013. link | pdf | supplementary material

M. Choudry, T. A. C. Beach, J. P. Callaghan and D. Kulić, A Stochastic Framework for Movement Strategy Identification and Analysis, IEEE Transactions on Human-Machine Systems, Vol. 43, No. 3, pp. 314 - 327, 2013. link | supplementary material

A. Samadani, A. Ghodsi and D. Kulić, Discriminative Functional Analysis of Human Movements, Pattern Recognition Letters, Vol. 34, No. 15, pp. 1829 - 1839, 2013. link

C. Freeman, D. Kulić and O. Basir, Feature-selected tree-based classification, IEEE Transactions on Cybernetics, Vol. 43, No. 6, pp. 1990 - 2004, 2013. link

A. Samadani, E. Kubica, R. Gorbet and D. Kulić, Perception and Generation of Affective Hand Movements, International Journal of Social Robotics, Vol. 5, No. 1, pp. 35 - 51, 2013. link

C. Freeman, D. Kulić and O. Basir, Multi-modal tree-based SVM classification, IEEE International Conference on Machine Learning and Applications, pp. 65 - 71, 2013.

G. J. Chang and D. Kulić, Robot Task Error Recovery Using Petri Nets Learned from Demonstration, IEEE International Conference on Advanced Robotics, 2013. pdf

D. Kulić, M. Choudry, G. Venture, K. Miura, and E. Yoshida, Quantitative Human and Robot Motion Comparison for Enabling Assistive Device Evaluation, IEEE International Conference on Humanoid Robotics , pp. 196 - 202, 2013. pdf

M. E. Karg, W. Seiberl, J. Hoey and D. Kulić, Human Movement Analysis: Extension of the F-Statistic for Time Series Data using HMM, IEEE International Conference on Systems, Man and Cybernetics, pp. 3870 - 3875, 2013. pdf

T. Aoki, D. Kulić and G. Venture, Pattern Recognition of Human Body Movement using Inertial Measurement Unit, IEEE International Conference on Systems, Man and Cybernetics, pp. 1181 - 1186, 2013. pdf

R. Gill, D. Kulić and C. Nielsen, Robust Path Following for Robot Manipulators, IEEE International Conference on Intelligent Robots and Systems, pp. 3412 - 3418, 2013. pdf

A. Samadani, S.J. Burton, R. Gorbet and D. Kulić, Laban Effort and Shape analysis of affective hand and arm movements, International Conference on Affective Computing and Intelligent Interaction, pp. 343 - 348, 2013. pdf

G. J. Chang and D. Kulić, Motion Learning From Observation Using Affinity Propagation Clustering, IEEE International Symposium on Robot and Human Interactive Communication, pp. 662 - 667, 2013. pdf

G. J. Chang and D. Kulić, Robot Task Learning from Demonstration Using Petri Nets, IEEE International Symposium on Robot and Human Interactive Communication, pp. 31 - 36, 2013. pdf

T. Zhang, M. E. Karg, J. F. S. Lin, D. Kulić and G. Venture, IMU based Single Stride Identification of Humans, IEEE International Symposium on Robot and Human Interactive Communication, pp. 220 - 225, 2013. pdf

J. F. S. Lin and D. Kulić, Human Pose Recovery for Rehabilitation Using Ambulatory Sensors, IEEE Engineering in Medicine and Biology Conference, pp. 4799 - 4802, 2013. pdf

J. Ni, D. Kulić and D. Davison, A Model-Based Feedback-Control Approach to Behavior Modification Through Reward-Induced Attitude Change, American Control Conference, 2013. pdf

S. Choudhury and D. Kulić, Gait Generation via the Foot Placement Estimator for 3D Bipedal Robots, IEEE International Conference on Robotics and Automation, pp. 5669 - 5675, 2013. pdf

2012

J. F. S. Lin and D. Kulić, Human Pose Recovery using Wireless Inertial Measurement Units, Physiological Measurement, Vol. 33, pp. 2099 - 2115, 2012. link

D. Kulić, C. Ott, D. Lee, J. Ishikawa and Y. Nakamura, Incremental learning of full body motion primitives and their sequencing through human motion observation, International Journal of Robotics Research, Vol. 31, No. 3, pp. 330 - 345, 2012. link

S. Choudhury, D. Wight and D. Kulić, Rapid Prototyping Toolchain for Humanoid Robotics Applications, IEEE International Conference on Humanoid Robots, pp. 817 - 822, 2012. video pdf

J. Sun de la Cruz, W. Owen and D. Kulić, Online Learning of Inverse Dynamics via Gaussian Process Regression, IEEE International Conference on Intelligent Robots and Systems, pp. 3583 - 3590, 2012. pdf

A. Samadani, R. Gorbet and D. Kulić, Gender differences in the Perception of Affective Movements, International Workshop on Human Behavior Understanding, pp. 65 - 76, 2012. pdf

J. F. S. Lin and D. Kulić, Segmenting Human Motion for Automated Rehabilitation Exercise Analysis, IEEE Engineering in Medicine and Biology Conference, pp. 2881 - 2884, 2012. pdf

A. Samadani, D. Kulić and R. Gorbet, Multi-Constrained Inverse Kinematics for the Human Hand, IEEE Engineering in Medicine and Biology Conference, pp. 6780 - 6784, 2012. pdf

J. Sun de la Cruz, E. Calisgan, D. Kulić, W. Owen and E. Croft, On-line Dynamic Model Learning for Manipulator Control, IFAC Symposium on Robot Control, pp. 794 - 799, 2012. pdf

S. Khan, M. Karg, J. Hoey and D. Kulić, Towards the Detection of Unusual Temporal Events during Activities Using HMMs, International Workshop on Situation, Activity and Goal Awareness, 2012.

2011

W. Takano, H. Imagawa, D. Kulić and Y. Nakamura, Crystal Ball: Prediction of Human Behaviors in the Future through Symbolic Inference, Journal of the Robotics Society of Japan, Vol. 29, No. 8, pp. 85 - 91, 2011. link

D. Kulić, V. Krueger and D. Kragic, Learning Action Primitives, In: Visual Analysis of Humans, Looking at People, T. B. Moeslund, A. Hilton, V. Krueger and L. Sigal (Eds), Springer, pp. 333 - 353, 2011. link

J. F. S. Lin and D. Kulić, Automatic Human Motion Segmentation and Identification using Feature Guided HMM for Physical Rehabilitation Exercises, Workshop on Robotics for Neurology and Rehabilitation, IEEE International Conference on Intelligent Robots and Systems, 2011, pdf

C. Freeman, D. Kulić and O. Basir, Joint feature selection and hierarchical classifier design, IEEE International Conference on Systems, Man, and Cybernetics, pp. 1728 - 1734, 2011. pdf

M. Choudry, M. Pillar, T. Beach, D. Kulić and J. Callaghan, Detecting changes in human motion using stochastic distance measures, IEEE Engineering in Medicine and Biology Conference, 2011. pdf

J. Sun de la Cruz, D. Kulić and W. Owen, A Comparison of Classical and Learning Controllers, World Congress of the International Federation of Automatic Control, pp. 1102-1107, 2011. pdf

A. Samadani, B. J. DeHart, K. Robinson, D. Kulić, E. Kubica and R. B. Gorbet, A Study of Human Performance in Recognizing Expressive Hand Movements, IEEE International Symposium on Robot and Human Interactive Communication, pp. 93-100, 2011. pdf

J. Sun de la Cruz, D. Kulić and W. Owen, Online Incremental Learning of Inverse Dynamics Incorporating Prior Knowledge, International Conference on Autonomous and Intelligent Systems, 2011. pdf

Z. Li and D. Kulić, Local Shape Context Based Real-time Endpoint Body Part Detection and Identification from Depth Images, Canadian Conference on Computer and Robot Vision, 2011. pdf

2010

D. Kulić and Y. Nakamura, Incremental Learning of Full Body Motion Primitives, In: From Motor to Interaction Learning in Robots, O. Sigaud and J. Peters (Eds), Springer, pp. 383 - 406, 2010. link

Z. Li and D. Kulić, Particle Filter Based Human Motion Tracking, IEEE International Conference on Control, Automation, Robotics and Vision, pp. 555 - 560, 2010. pdf

Z. Li and D. Kulić, A Stereo Camera Based Full Body Human Motion Capture System Using a Partitioned Particle Filter, IEEE International Conference on Intelligent Robots and Systems, pp. 3428 - 3424, 2010. pdf

D. Kulić and Y. Nakamura, Incremental Learning of Human Behaviors using Hierarchical Hidden Markov Models, IEEE International Conference on Intelligent Robots and Systems, pp. 4649 - 4655, 2010. pdf

W. Takano, H. Imagawa, D. Kulić and Y. Nakamura, What Do You Expect from a Robot that Tells Your Future? The Crystal Ball, IEEE International Conference on Intelligent Robots and Systems, pp. 1780 - 1785, 2010. pdf

W. Takano, D. Kulić, H. Imagawa and Y. Nakamura, Behavioral Prediction based on Motion Symbolization of Large Motion Dataset, IEEE International Conference on Biomedical Robotics and Biomechatronics, 2010.

J. Sun de la Cruz, D. Kulić and W. Owen, Learning Inverse Dynamics for Redundant Manipulator Control, International Conference on Autonomous and Intelligent Systems, 2010. pdf

2009

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

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 | supplementary material

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

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

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, pp. 4300 - 4305, 2009.

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, pp. 3742 - 3749, 2009.

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

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

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

2008

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

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

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

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

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

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

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

2007

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

D. Kulić and E. Croft, Pre-Collision Safety Strategies for Human-Robot Interaction, Autonomous Robots, Vol. 22, No. 2, pp. 149 – 164, 2007. link

D. Kulić and E. Croft, Physiological and Subjective Responses to Articulated Robot Motion, Robotica, Vol. 25, No. 1, pp. 13 – 27, 2007. link

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

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

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

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

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

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

2006

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

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.

D. Kulić and E. Croft, Mechatronic System Integration for Senior Students, ASME International Mechanical Engineering Congress and Exposition, pp. 1 – 9, 2006. pdf

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

2005

D. Kulić and E. Croft, Safe Planning for Human-Robot Interaction, Journal of Robotic Systems, Vol. 22, No. 7, pp. 383 – 396, 2005. pdf

D. Kulić and E. Croft, Anxiety Detection for Human Robot Interaction, IEEE International Conference on Intelligent Robots and Systems, pp. 389 – 394, 2005. pdf

D. Kulić and E. Croft, Real-time Safety for Human Robot Interaction, IEEE International Conference on Advanced Robotics, pp. 719 – 724, 2005. pdf

2004

D. Kulić and E. Croft, Safe Planning for Human Robot Interaction, IEEE International Conference on Robotics and Automation, pp. 1882 – 1887, 2004. pdf

2003

D. Kulić and E. Croft, Strategies for Safety in Human Robot Interaction, IEEE International Conference on Advanced Robotics, pp. 644 – 649, 2003. pdf

D. Kulić and E. Croft, Estimating Intent for Human Robot Interaction, IEEE International Conference on Advanced Robotics, pp. 810 – 815, 2003. pdf


Conference Presentations

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.

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

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

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

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

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

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.

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)

D. Kulić, Poster and Demonstration on Intent Based Human Robot Interaction. Advanced Systems Institute Exchange, 2003.


Theses

C. Woo, Driving Manoeuvre Recognition Using Mobile Sensors, MASc Thesis. University of Waterloo, 2016. pdf

T. K. Chan, Curiosity-Based Learning Algorithm for Interactive Art Sculptures, MASc Thesis. University of Waterloo, 2016. pdf

A.  W. K. Lam, User Interface Design and Validation for the Automated Rehabilitation System, MASc Thesis. University of Waterloo, 2015. pdf

V. Joukov, Pose Estimation and Segmentation for Rehabilitation, MASc Thesis. University of Waterloo, 2015. pdf

R. Gill, Robust Spline Path Following for Redundant Mechanical Systems, MASc Thesis. University of Waterloo, 2015. pdf

M. Memarian, Novel Finger-like Soft Pneumatic Actuators for Affective Movement, MASc Thesis. University of Waterloo, 2015. pdf

A. Samadani, Automatic Recognition and Generation of Affective Movements, PhD Thesis. University of Waterloo, 2014. pdf

S. Wiratunga, Training Gaussian Process Regression Models Using Optimized Trajectories, MASc Thesis. University of Waterloo, 2014. pdf

R. Houmanfar, Quantitative Estimation of Movement Progress during Rehabilitation after Knee/Hip Replacement Surgery. MASc Thesis. University of Waterloo, 2014.

C. Freeman, Feature selection and hierarchical classifier design with applications to human motion recognition. PhD Thesis. University of Waterloo, 2014. pdf

G. Chang, Robot Motion and Task Learning with Error Recovery. MASc Thesis. University of Waterloo, 2013. pdf

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