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ORCIDDana Kulic
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- affiliation: University of Waterloo, Canada
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2020 – today
- 2024
[j57]Liam Roy
, Elizabeth A. Croft, Dana Kulic:
Learning to Communicate Functional States With Nonverbal Expressions for Improved Human-Robot Collaboration. IEEE Robotics Autom. Lett. 9(6): 5393-5400 (2024)- [c137]Binh Tran, Dana Kulic, Simon M. Harrison, Charles H. C. Pilgrim, Elahe Abdi:
PCNet: Accurate Surgical Workflow Recognition with Phase Consistency. EMBC 2024: 1-4 - [c136]Ege Gursoy, Dana Kulic, Andrea Cherubini:
Occlusion Handling by Pushing for Enhanced Fruit Detection. IROS 2024: 76-81 - [c135]Richard Attfield, Elizabeth A. Croft, Dana Kulic:
A comparison of audible, visual, and multi-modal communication for multi-robot supervision and situational awareness. IROS 2024: 8802-8809 - [c134]Seung Chan Hong, Leimin Tian, Akansel Cosgun, Dana Kulic:
"One Soy Latte for Daniel": Visual and Movement Communication of Intention from a Robot Waiter to a Group of Customers. RO-MAN 2024: 725-731 - [c133]Sophie Lane, Connor Esterwood, Dana Kulic, Nicole L. Robinson:
Robots That Use Physical Repair Strategies After Repeated Errors to Mitigate Trust Decline in Human-Robot Interaction: A Repeated Measures Experiment. RO-MAN 2024: 936-943 - [i55]Callum Bennie, Bridget Casey, Cécile Paris, Dana Kulic, Brendan Tidd, Nicholas Lawrance, Alex Pitt, Fletcher Talbot, Jason Williams, David Howard, Pavan Sikka, Hashini Senaratne:
Alternative Interfaces for Human-initiated Natural Language Communication and Robot-initiated Haptic Feedback: Towards Better Situational Awareness in Human-Robot Collaboration. CoRR abs/2401.13903 (2024) - [i54]Liam Roy, Dana Kulic, Elizabeth A. Croft:
Learning to Communicate Functional States with Nonverbal Expressions for Improved Human-Robot Collaboration. CoRR abs/2404.19253 (2024) - [i53]Aimee Allen, Tom Drummond, Dana Kulic:
Robots Have Been Seen and Not Heard: Effects of Consequential Sounds on Human-Perception of Robots. CoRR abs/2406.02938 (2024) - [i52]Seung Chan Hong, Leimin Tian, Akansel Cosgun, Dana Kulic:
"One Soy Latte for Daniel": Visual and Movement Communication of Intention from a Robot Waiter to a Group of Customers. CoRR abs/2407.05667 (2024) - [i51]Morris Gu, Elizabeth A. Croft, Dana Kulic:
Demonstration Based Explainable AI for Learning from Demonstration Methods. CoRR abs/2410.05715 (2024) - [i50]Sanjeev Nahulanthran, Mor Vered, Leimin Tian, Dana Kulic:
"I think you need help! Here's why": Understanding the Effect of Explanations on Automatic Facial Expression Recognition. CoRR abs/2410.09743 (2024) - [i49]Juyan Zhang, Dana Kulic, Michael G. Burke:
A Probabilistic Model for Skill Acquisition with Switching Latent Feedback Controllers. CoRR abs/2410.14191 (2024) - [i48]Kal Backman, Ben Beck, Dana Kulic:
Classifying Bicycle Infrastructure Using On-Bike Street-Level Images. CoRR abs/2410.19194 (2024) - [i47]Kavindie Katuwandeniya, Leimin Tian, Dana Kulic:
'What did the Robot do in my Absence?' Video Foundation Models to Enhance Intermittent Supervision. CoRR abs/2411.10016 (2024) - 2023
- [j56]Kal Backman, Dana Kulic, Hoam Chung:
Reinforcement learning for shared autonomy drone landings. Auton. Robots 47(8): 1419-1438 (2023) - [j55]Tina L. Y. Wu, Anna Murphy, Chao Chen, Dana Kulic:
Adaptive cueing strategy for gait modification: A case study using auditory cues. Frontiers Neurorobotics 17 (2023) - [j54]Nicole L. Robinson, Brendan Tidd, Dylan Campbell, Dana Kulic, Peter Corke:
Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review. ACM Trans. Hum. Robot Interact. 12(1): 12:1-12:66 (2023) - [j53]Wanxin Jin, Todd D. Murphey, Dana Kulic, Neta Ezer, Shaoshuai Mou:
Learning From Sparse Demonstrations. IEEE Trans. Robotics 39(1): 645-664 (2023) - [j52]Pamela Carreno-Medrano, Stephen L. Smith, Dana Kulic:
Joint Estimation of Expertise and Reward Preferences From Human Demonstrations. IEEE Trans. Robotics 39(1): 681-698 (2023) - [c132]Hengchang Liu, Ying Tan, Tomislav Bacek, Dana Kulic, Denny Oetomo, Chris Manzie:
Fast Extremum Seeking Control for a Class of Generalized Hammerstein Systems with the Knowledge of Relative Degree. ACC 2023: 2405-2410 - [c131]Ege Gursoy, Benjamin Navarro, Akansel Cosgun, Dana Kulic, Andrea Cherubini:
Towards Vision-Based Dual Arm Robotic Fruit Harvesting. CASE 2023: 1-6 - [c130]Hojin Song, Ton Tran, Dana Kulic:
Effect of Tibial Component Misalignment on the Lower Limb Joint Kinematics During Squat. EMBC 2023: 1-5 - [c129]Tina L. Y. Wu, Anna Murphy, Chao Chen, Dana Kulic:
Auditory cueing strategy for stride length and cadence modification: a feasibility study with healthy adults. EMBC 2023: 1-6 - [c128]Leimin Tian, Kerry He, Shiyu Xu, Akansel Cosgun, Dana Kulic:
Crafting with a Robot Assistant: Use Social Cues to Inform Adaptive Handovers in Human-Robot Collaboration. HRI 2023: 252-260 - [c127]Mingrui Sun, Tomislav Bacek, Dana Kulic, Jennifer McGinley, Denny Oetomo, Ying Tan:
Modelling Physical Human-Robot Interface with Different Users, Cuffs, and Strapping Pressures: A Case Study. ICORR 2023: 1-6 - [c126]Shiyu Xu, Tianyuan Liu, Michael Wong, Dana Kulic, Akansel Cosgun:
Rotating Objects via in-Hand Pivoting Using Vision, Force and Touch. IROS 2023: 8792-8799 - [c125]Rachel Love, Edith Law, Philip R. Cohen, Dana Kulic:
Adapting a Teachable Robot's Dialog Responses using Reinforcement Learning in Teaching Conversation. RO-MAN 2023: 2541-2548 - [c124]Hashini Senaratne, Alex Pitt, Fletcher Talbot, Peyman Moghadam, Pavan Sikka, David Howard, Jason Williams, Dana Kulic, Cécile Paris:
Measuring Situational Awareness Latency in Human-Robot Teaming Experiments. RO-MAN 2023: 2624-2631 - [c123]Rachel Love, Philip R. Cohen, Dana Kulic:
Teachable Robots Learn What to Say: Improving Child Engagement During Teaching Interaction. ICSR (2) 2023: 27-37 - [e2]Karen Liu, Dana Kulic, Jeffrey Ichnowski:
Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand. Proceedings of Machine Learning Research 205, PMLR 2023 [contents] - [i46]Leimin Tian, Kerry He, Shiyu Xu, Akansel Cosgun, Dana Kulic:
Crafting with a Robot Assistant: Use Social Cues to Inform Adaptive Handovers in Human-Robot Collaboration. CoRR abs/2301.02938 (2023) - [i45]Shiyu Xu, Tianyuan Liu, Michael Wong, Dana Kulic, Akansel Cosgun:
Rotating Objects via In-Hand Pivoting using Vision, Force and Touch. CoRR abs/2303.10865 (2023) - [i44]Mingjie Li, Tharindu Rathnayake, Ben Beck, Lingheng Meng, Zijue Chen, Akansel Cosgun, Xiaojun Chang, Dana Kulic:
A Benchmark for Cycling Close Pass Near Miss Event Detection from Video Streams. CoRR abs/2304.11868 (2023) - [i43]Ege Gursoy, Benjamin Navarro, Akansel Cosgun, Dana Kulic, Andrea Cherubini:
Towards vision-based dual arm robotic fruit harvesting. CoRR abs/2306.08729 (2023) - [i42]Kal Backman, Dana Kulic, Hoam Chung:
Learning to Assist and Communicate with Novice Drone Pilots for Expert Level Performance. CoRR abs/2306.09600 (2023) - [i41]Nicole L. Robinson, Brendan Tidd, Dylan Campbell, Dana Kulic, Peter Corke:
Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review. CoRR abs/2307.15363 (2023) - [i40]Tina L. Y. Wu, Anna Murphy, Chao Chen, Dana Kulic:
Auditory cueing strategy for stride length and cadence modification: a feasibility study with healthy adults. CoRR abs/2308.07184 (2023) - [i39]Maram Sakr, Zhikai Zhang, Benjamin Li, Haomiao Zhang, H. F. Machiel Van der Loos, Dana Kulic, Elizabeth A. Croft:
How Can Everyday Users Efficiently Teach Robots by Demonstrations? CoRR abs/2310.13083 (2023) - 2022
- [j51]Yanran Jiang, Peter Malliaras, Bernard K. Chen, Dana Kulic:
Real-time forecasting of exercise-induced fatigue from wearable sensors. Comput. Biol. Medicine 148: 105905 (2022) - [j50]Vladimir Joukov, Dana Kulic:
Fast Approximate Multioutput Gaussian Processes. IEEE Intell. Syst. 37(4): 56-69 (2022) - [j49]Jessy Ceha, Edith Law, Dana Kulic, Pierre-Yves Oudeyer, Didier Roy:
Identifying Functions and Behaviours of Social Robots for In-Class Learning Activities: Teachers' Perspective. Int. J. Soc. Robotics 14(3): 747-761 (2022) - [j48]Kerry He, Rhys Newbury, Tin Tran, Jesse Haviland, Ben Burgess-Limerick, Dana Kulic, Peter Corke, Akansel Cosgun:
Visibility Maximization Controller for Robotic Manipulation. IEEE Robotics Autom. Lett. 7(3): 8479-8486 (2022) - [j47]Maram Sakr, Zexi Jesse Li, H. F. Machiel Van der Loos, Dana Kulic, Elizabeth A. Croft:
Quantifying Demonstration Quality for Robot Learning and Generalization. IEEE Robotics Autom. Lett. 7(4): 9659-9666 (2022) - [c122]Hengchang Liu, Ying Tan, Tomislav Bacek, Mingrui Sun, Zhongxiang Chen, Dana Kulic, Denny Oetomo, Chris Manzie:
On Singular Perturbation for a Class of Discrete-Time Nonlinear Systems in the Presence of Limit Cycles of Fast Dynamics. ACC 2022: 831-837 - [c121]Pamela Carreno, Dana Kulic, Michael G. Burke:
Adapting Neural Models with Sequential Monte Carlo Dropout. CoRL 2022: 1542-1552 - [c120]Jason Toskov, Rhys Newbury, Mustafa Mukadam, Dana Kulic, Akansel Cosgun:
In-Hand Gravitational Pivoting Using Tactile Sensing. CoRL 2022: 2284-2293 - [c119]Tomislav Bacek, Mingrui Sun, Hengchang Liu, Zhongxiang Chen, Dana Kulic, Denny Oetomo, Ying Tan:
Varying Joint Patterns and Compensatory Strategies Can Lead to the Same Functional Gait Outcomes: A Case Study. ICORR 2022: 1-6 - [c118]Jia Chuan A. Tan, Wesley P. Chan, Nicole L. Robinson, Dana Kulic, Elizabeth A. Croft:
Impacts of Teaching towards Training Gesture Recognizers for Human-Robot Interaction. RO-MAN 2022: 618-623 - [c117]Kerry He, Pradeepsundar Simini, Wesley P. Chan, Dana Kulic, Elizabeth A. Croft, Akansel Cosgun:
On-The-Go Robot-to-Human Handovers with a Mobile Manipulator. RO-MAN 2022: 729-734 - [c116]Nick Ah Sen, Pamela Carreno-Medrano, Dana Kulic:
Human-Aware Subgoal Generation in Crowded Indoor Environments. ICSR (1) 2022: 50-60 - [i38]Kal Backman, Dana Kulic, Hoam Chung:
Reinforcement Learning for Shared Autonomy Drone Landings. CoRR abs/2202.02927 (2022) - [i37]Kerry He, Rhys Newbury, Tin Tran, Jesse Haviland, Ben Burgess-Limerick, Dana Kulic, Peter Corke, Akansel Cosgun:
Visibility Maximization Controller for Robotic Manipulation. CoRR abs/2202.12557 (2022) - [i36]Kerry He, Pradeepsundar Simini, Wesley P. Chan, Dana Kulic, Elizabeth A. Croft, Akansel Cosgun:
On-The-Go Robot-to-Human Handovers with a Mobile Manipulator. CoRR abs/2203.08423 (2022) - [i35]Rachel Love, Edith Law, Philip R. Cohen, Dana Kulic:
Natural Language Communication with a Teachable Agent. CoRR abs/2203.09016 (2022) - [i34]Maram Sakr, Zexi Jesse Li, H. F. Machiel Van der Loos, Dana Kulic, Elizabeth A. Croft:
Quantifying Demonstration Quality for Robot Learning and Generalization. CoRR abs/2203.13843 (2022) - [i33]Tomislav Bacek, Mingrui Sun, Hengchang Liu, Zhongxiang Chen, Dana Kulic, Denny Oetomo, Ying Tan:
Varying Joint Patterns and Compensatory Strategies Can Lead to the Same Functional Gait Outcomes: A Case Study. CoRR abs/2206.13031 (2022) - [i32]Lingheng Meng, Rob Gorbet, Dana Kulic:
Partial Observability during DRL for Robot Control. CoRR abs/2209.04999 (2022) - [i31]Jason Toskov, Rhys Newbury, Mustafa Mukadam, Dana Kulic, Akansel Cosgun:
In-Hand Gravitational Pivoting Using Tactile Sensing. CoRR abs/2210.05068 (2022) - [i30]Pamela Carreno-Medrano, Dana Kulic, Michael G. Burke:
Adapting Neural Models with Sequential Monte Carlo Dropout. CoRR abs/2210.15779 (2022) - [i29]Nicole L. Robinson, Jason Williams, David Howard, Brendan Tidd, Fletcher Talbot, Brett Wood, Alex Pitt, Navinda Kottege, Dana Kulic:
Human-Robot Team Performance Compared to Full Robot Autonomy in 16 Real-World Search and Rescue Missions: Adaptation of the DARPA Subterranean Challenge. CoRR abs/2212.05626 (2022) - 2021
- [j46]Enrique Coronado, Dominique Deuff, Pamela Carreno-Medrano, Leimin Tian, Dana Kulic, Shanti Sumartojo, Fulvio Mastrogiovanni, Gentiane Venture:
Towards a Modular and Distributed End-User Development Framework for Human-Robot Interaction. IEEE Access 9: 12675-12692 (2021) - [j45]Jonathan Feng-Shun Lin, Pamela Carreno-Medrano, Mahsa Parsapour, Maram Sakr, Dana Kulic:
Objective learning from human demonstrations. Annu. Rev. Control. 51: 111-129 (2021) - [j44]Yanran Jiang, Peter Malliaras, Bernard K. Chen, Dana Kulic:
Model-based data augmentation for user-independent fatigue estimation. Comput. Biol. Medicine 137: 104839 (2021) - [j43]Wanxin Jin, Dana Kulic, Shaoshuai Mou, Sandra Hirche:
Inverse optimal control from incomplete trajectory observations. Int. J. Robotics Res. 40(6-7) (2021) - [j42]Kal Backman, Dana Kulic, Hoam Chung:
Learning to Assist Drone Landings. IEEE Robotics Autom. Lett. 6(2): 3192-3199 (2021) - [j41]Tina L. Y. Wu, Anna Murphy, Chao Chen, Dana Kulic:
Human-in-the-Loop Auditory Cueing Strategy for Gait Modification. IEEE Robotics Autom. Lett. 6(2): 3521-3528 (2021) - [j40]Cristino de Souza, Rhys Newbury, Akansel Cosgun, Pedro Castillo, Boris Vidolov, Dana Kulic:
Decentralized Multi-Agent Pursuit Using Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 6(3): 4552-4559 (2021) - [j39]Yanran Jiang, Vincent Hernandez, Gentiane Venture, Dana Kulic, Bernard K. Chen:
A Data-Driven Approach to Predict Fatigue in Exercise Based on Motion Data from Wearable Sensors or Force Plate. Sensors 21(4): 1499 (2021) - [j38]Lingheng Meng, Daiwei Lin, Adam Francey, Rob Gorbet, Philip Beesley, Dana Kulic:
Learning to Engage with Interactive Systems: A Field Study on Deep Reinforcement Learning in a Public Museum. ACM Trans. Hum. Robot Interact. 10(1): 5:1-5:29 (2021) - [j37]Valerio Ortenzi, Akansel Cosgun, Tommaso Pardi, Wesley P. Chan, Elizabeth A. Croft, Dana Kulic:
Object Handovers: A Review for Robotics. IEEE Trans. Robotics 37(6): 1855-1873 (2021) - [c115]Mahsa Parsapour, Dana Kulic:
Recovery-Matrix Inverse Optimal Control for Deterministic Feedforward-Feedback Controllers. ACC 2021: 4765-4770 - [c114]Leimin Tian, Pamela Carreno-Medrano, Aimee Allen, Shanti Sumartojo, Michael Mintrom, Enrique Coronado Zuniga, Gentiane Venture, Elizabeth A. Croft, Dana Kulic:
Redesigning Human-Robot Interaction in Response to Robot Failures: a Participatory Design Methodology. CHI Extended Abstracts 2021: 57:1-57:8 - [c113]Yan-Jun Yang, Arvind N. Vadivelu, Charles H. C. Pilgrim, Dana Kulic, Elahe Abdi:
A Novel Perception Framework for Automatic Laparoscope Zoom Factor Control Using Tool Geometry. EMBC 2021: 4700-4704 - [c112]Maram Sakr, H. F. Machiel Van der Loos, Dana Kulic, Elizabeth A. Croft:
What Makes a Good Demonstration for Robot Learning Generalization? HRI (Companion) 2021: 607-609 - [c111]Shouyo Ishida, Tatsuki Harada, Pamela Carreno-Medrano, Dana Kulic, Gentiane Venture:
Human Motion Imitation using Optimal Control with Time-Varying Weights. IROS 2021: 608-615 - [c110]Lingheng Meng, Rob Gorbet, Dana Kulic:
Memory-based Deep Reinforcement Learning for POMDPs. IROS 2021: 5619-5626 - [c109]Zoe Tong, Dana Kulic:
Learning to Engage in Interactive Digital Art. IUI 2021: 275-279 - [c108]Vidyasagar Rajendran, Pamela Carreno-Medrano, Wesley Fisher, Dana Kulic:
Human-Aware RRT-Connect: Motion Planning for Safe Human-Robot Collaboration. RO-MAN 2021: 15-22 - [c107]Parastoo Baghaei Ravari, Ken Jen Lee, Edith Law, Dana Kulic:
Effects of an Adaptive Robot Encouraging Teamwork on Students' Learning. RO-MAN 2021: 250-257 - [c106]Luke Mckenzie-Mcharg, Dana Kulic, Leimin Tian:
Discrepancies between designs of robot communicative styles and their perceived assertiveness. RO-MAN 2021: 1045-1052 - [i28]Pamela Carreno-Medrano, Leimin Tian, Aimee Allen, Shanti Sumartojo, Michael Mintrom, Enrique Coronado, Gentiane Venture, Elizabeth A. Croft, Dana Kulic:
Aligning Robot's Behaviours and Users' Perceptions Through Participatory Prototyping. CoRR abs/2101.03660 (2021) - [i27]Lingheng Meng, Rob Gorbet, Dana Kulic:
Memory-based Deep Reinforcement Learning for POMDP. CoRR abs/2102.12344 (2021) - [i26]Jia Chuan A. Tan, Wesley P. Chan, Nicole L. Robinson, Elizabeth A. Croft, Dana Kulic:
A Proposed Set of Communicative Gestures for Human Robot Interaction and an RGB Image-based Gesture Recognizer Implemented in ROS. CoRR abs/2109.09908 (2021) - [i25]Jessy Ceha, Edith Law, Dana Kulic, Pierre-Yves Oudeyer, Didier Roy:
Identifying Functions and Behaviours of Social Robots during Learning Activities: Teachers' Perspective. CoRR abs/2111.00360 (2021) - 2020
- [j36]Nils Wilde, Alexandru Blidaru, Stephen L. Smith, Dana Kulic:
Improving user specifications for robot behavior through active preference learning: Framework and evaluation. Int. J. Robotics Res. 39(6) (2020) - [j35]Elahe Abdi, Dana Kulic, Elizabeth A. Croft:
Haptics in Teleoperated Medical Interventions: Force Measurement, Haptic Interfaces and Their Influence on User's Performance. IEEE Trans. Biomed. Eng. 67(12): 3438-3451 (2020) - [j34]Vladimir Joukov, Josip Cesic, Kevin Westermann, Ivan Markovic, Ivan Petrovic, Dana Kulic:
Estimation and Observability Analysis of Human Motion on Lie Groups. IEEE Trans. Cybern. 50(3): 1321-1332 (2020) - [c105]Yan-Jun Yang, Soumith Udatha, Dana Kulic, Elahe Abdi:
A novel foot interface versus voice for controlling a robotic endoscope holder. BioRob 2020: 272-279 - [c104]Edith Law, Parastoo Baghaei Ravari, Nalin Chhibber, Dana Kulic, Stephanie Lin, Kevin Daniel Pantasdo, Jessy Ceha, Sangho Suh, Nicole Dillen:
Curiosity Notebook: A Platform for Learning by Teaching Conversational Agents. CHI Extended Abstracts 2020: 1-9 - [c103]Lingheng Meng, Rob Gorbet, Dana Kulic:
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning. ICPR 2020: 347-353 - [c102]Nils Wilde, Dana Kulic, Stephen L. Smith:
Learning User Preferences from Corrections on State Lattices. ICRA 2020: 4913-4919 - [c101]Vidyasagar Rajendran, Pamela Carreno-Medrano, Wesley Fisher, Alexander Werner, Dana Kulic:
A Framework for Human-Robot Interaction User Studies. IROS 2020: 6215-6222 - [c100]Nils Wilde, Dana Kulic, Stephen L. Smith:
Active Preference Learning using Maximum Regret. IROS 2020: 10952-10959 - [c99]Shray Bansal, Rhys Newbury, Wesley P. Chan, Akansel Cosgun, Aimee Allen, Dana Kulic, Tom Drummond, Charles Isbell:
Supportive Actions for Manipulation in Human-Robot Coworker Teams. IROS 2020: 11261-11267 - [c98]Leimin Tian, Pamela Carreno-Medrano, Shanti Sumartojo, Michael Mintrom, Enrique Coronado, Gentiane Venture, Dana Kulic:
User Expectations of Robots in Public Spaces: A Co-design Methodology. ICSR 2020: 259-270 - [i24]Shray Bansal, Rhys Newbury, Wesley P. Chan, Akansel Cosgun, Aimee Allen, Dana Kulic, Tom Drummond, Charles Isbell:
Supportive Actions for Manipulation in Human-Robot Coworker Teams. CoRR abs/2005.00769 (2020) - [i23]Nils Wilde, Dana Kulic, Stephen L. Smith:
Active Preference Learning using Maximum Regret. CoRR abs/2005.04067 (2020) - [i22]Ali-Akbar Samadani, Rob Gorbet, Dana Kulic:
Affective Movement Generation using Laban Effort and Shape and Hidden Markov Models. CoRR abs/2006.06071 (2020) - [i21]Lingheng Meng, Rob Gorbet, Dana Kulic:
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning. CoRR abs/2006.12692 (2020) - [i20]Valerio Ortenzi, Akansel Cosgun, Tommaso Pardi, Wesley P. Chan, Elizabeth A. Croft, Dana Kulic:
Object Handovers: a Review for Robotics. CoRR abs/2007.12952 (2020) - [i19]Wanxin Jin, Todd D. Murphey, Dana Kulic, Neta Ezer, Shaoshuai Mou:
Learning from Sparse Demonstrations. CoRR abs/2008.02159 (2020) - [i18]Vladimir Joukov, Dana Kulic:
Fast Approximate Multi-output Gaussian Processes. CoRR abs/2008.09848 (2020) - [i17]Sunny Goondram, Akansel Cosgun, Dana Kulic:
Strawberry Detection using Mixed Training on Simulated and Real Data. CoRR abs/2008.10236 (2020) - [i16]Cristino de Souza Jr., Rhys Newbury, Akansel Cosgun, Pedro Castillo, Boris Vidolov, Dana Kulic:
Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning. CoRR abs/2010.08193 (2020) - [i15]Pamela Carreno-Medrano, Stephen L. Smith, Dana Kulic:
Joint Estimation of Expertise and Reward Preferences From Human Demonstrations. CoRR abs/2011.04118 (2020) - [i14]Kal Backman, Dana Kulic, Hoam Chung:
Learning to Assist Drone Landings. CoRR abs/2011.13146 (2020) - [i13]Tina L. Y. Wu, Anna Murphy, Chao Chen, Dana Kulic:
Human-in-the-loop Cueing Strategy for Gait Rehabilitation. CoRR abs/2011.13516 (2020)
2010 – 2019
- 2019
- [j33]Thomas Beckers, Dana Kulic, Sandra Hirche:
Stable Gaussian process based tracking control of Euler-Lagrange systems. Autom. 103: 390-397 (2019) - [j32]Nils Wilde, Dana Kulic, Stephen L. Smith:
Bayesian Active Learning for Collaborative Task Specification Using Equivalence Regions. IEEE Robotics Autom. Lett. 4(2): 1691-1698 (2019) - [j31]Muriel Lang, Franz Michael Josef Pfister, Jakob Fröhner, Kian Abedinpour, Daniel Pichler, Urban Fietzek, Terry Taewoong Um, Dana Kulic, Satoshi Endo, Sandra Hirche:
A Multi-Layer Gaussian Process for Motor Symptom Estimation in People With Parkinson's Disease. IEEE Trans. Biomed. Eng. 66(11): 3038-3049 (2019) - [j30]Malcolm Doering, Phoebe Liu, Dylan F. Glas, Takayuki Kanda, Dana Kulic, Hiroshi Ishiguro:
Curiosity Did Not Kill the Robot: A Curiosity-based Learning System for a Shopkeeper Robot. ACM Trans. Hum. Robot Interact. 8(3): 15:1-15:24 (2019) - [j29]Gentiane Venture, Dana Kulic:
Robot Expressive Motions: A Survey of Generation and Evaluation Methods. ACM Trans. Hum. Robot Interact. 8(4): 20:1-20:17 (2019) - [j28]Wanxin Jin, Dana Kulic, Jonathan Feng-Shun Lin, Shaoshuai Mou, Sandra Hirche:
Inverse Optimal Control for Multiphase Cost Functions. IEEE Trans. Robotics 35(6): 1387-1398 (2019) - [c97]Jessy Ceha, Nalin Chhibber, Joslin Goh, Corina McDonald, Pierre-Yves Oudeyer, Dana Kulic, Edith Law:
Expression of Curiosity in Social Robots: Design, Perception, and Effects on Behaviour. CHI 2019: 406 - [c96]Pamela Carreno-Medrano, Tatsuki Harada, Jonathan Feng-Shun Lin, Dana Kulic, Gentiane Venture:
Analysis of Affective Human Motion During Functional Task Performance: An Inverse Optimal Control Approach. Humanoids 2019: 461-468 - [c95]Vladimir Joukov, Jonathan Feng-Shun Lin, Dana Kulic:
Closed-chain Pose Estimation from Wearable Sensors. Humanoids 2019: 594-600 - [c94]Pamela Carreno-Medrano, Abhinav Dahiya, Stephen L. Smith, Dana Kulic:
Incremental Estimation of Users' Expertise Level. RO-MAN 2019: 1-8 - [i12]Nils Wilde, Dana Kulic, Stephen L. Smith:
Bayesian Active Learning for Collaborative Task Specification Using Equivalence Regions. CoRR abs/1901.09470 (2019) - [i11]Lingheng Meng, Daiwei Lin, Adam Francey, Rob Gorbet, Philip Beesley, Dana Kulic:
Learning to Engage with Interactive Systems: A field Study. CoRR abs/1904.06764 (2019) - [i10]Nils Wilde, Alexandru Blidaru, Stephen L. Smith, Dana Kulic:
Improving User Specifications for Robot Behavior through Active Preference Learning: Framework and Evaluation. CoRR abs/1907.10412 (2019) - 2018
- [j27]Dana Kulic, Gentiane Venture, Hanna Kurniawati:
ISER 2016 Editorial. Int. J. Robotics Res. 37(9): 979-980 (2018) - [c93]Ali-Akbar Samadani, Alex Lee, Dana Kulic:
A Spinal Motion Measurement Protocol Utilizing Inertial Sensors Without Magnetometers. EMBC 2018: 1-4 - [c92]Nils Wilde, Dana Kulic, Stephen L. Smith:
Learning User Preferences in Robot Motion Planning Through Interaction. ICRA 2018: 619-626 - [c91]Brandon J. DeHart, Rob Gorbet, Dana Kulic:
Spherical Foot Placement Estimator for Humanoid Balance Control and Recovery. ICRA 2018: 1747-1754 - [c90]Vladimir Joukov, Jonathan Feng-Shun Lin, Kevin Westermann, Dana Kulic:
Real-Time Unlabeled Marker Pose Estimation via Constrained Extended Kalman Filter. ISER 2018: 762-771 - [c89]Alexandru Blidaru, Stephen L. Smith, Dana Kulic:
Assessing User Specifications for Robot Task Planning. RO-MAN 2018: 72-79 - [c88]Kazumi Kumagai, Ikuo Mizuuchi, Lingheng Meng, Alexandru Blidaru, Philip Beesley, Dana Kulic:
Towards Individualized Affective Human-Machine Interaction. RO-MAN 2018: 678-685 - [c87]Jie Xie, Allaa R. Hilal, Dana Kulic:
Driver Distraction Recognition Based on Smartphone Sensor Data. SMC 2018: 801-806 - [i9]Wanxin Jin, Dana Kulic, Shaoshuai Mou, Sandra Hirche:
Inverse Optimal Control with Incomplete Observations. CoRR abs/1803.07696 (2018) - [i8]Thomas Beckers, Dana Kulic, Sandra Hirche:
Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems. CoRR abs/1806.07190 (2018) - [i7]Terry Taewoong Um, Franz Michael Josef Pfister, Daniel Christian Pichler, Satoshi Endo, Muriel Lang, Sandra Hirche, Urban Fietzek, Dana Kulic:
Parkinson's Disease Assessment from a Wrist-Worn Wearable Sensor in Free-Living Conditions: Deep Ensemble Learning and Visualization. CoRR abs/1808.02870 (2018) - [i6]Muriel Lang, Urban Fietzek, Jakob Fröhner, Franz Michael Josef Pfister, Daniel Pichler, Kian Abedinpour, Terry Taewoong Um, Dana Kulic, Satoshi Endo, Sandra Hirche:
A Multi-layer Gaussian Process for Motor Symptom Estimation in People with Parkinson's Disease. CoRR abs/1808.10663 (2018) - [i5]Thomas Beckers, Jonas Umlauft, Dana Kulic, Sandra Hirche:
Stable Gaussian Process based Tracking Control of Lagrangian Systems. CoRR abs/1811.07711 (2018) - 2017
- [j26]Shehroz S. Khan, Michelle E. Karg, Dana Kulic, Jesse Hoey:
Detecting falls with X-Factor Hidden Markov Models. Appl. Soft Comput. 55: 168-177 (2017) - [c86]Thomas Beckers, Jonas Umlauft, Dana Kulic, Sandra Hirche:
Stable Gaussian process based tracking control of Lagrangian systems. CDC 2017: 5180-5185 - [c85]Brandon J. DeHart, Dana Kulic:
Quantifying balance capabilities using momentum gain. Humanoids 2017: 561-568 - [c84]Brandon J. DeHart, Dana Kulic:
Legged mechanism design with momentum gains. Humanoids 2017: 593-598 - [c83]Vladimir Joukov, Dana Kulic:
Gaussian process based model predictive controller for imitation learning. Humanoids 2017: 850-855 - [c82]Terry Taewoong Um, Franz Michael Josef Pfister, Daniel Pichler, Satoshi Endo, Muriel Lang, Sandra Hirche, Urban Fietzek, Dana Kulic:
Data augmentation of wearable sensor data for parkinson's disease monitoring using convolutional neural networks. ICMI 2017: 216-220 - [c81]Vladimir Joukov, Josip Cesic, Kevin Westermann, Ivan Markovic, Dana Kulic, Ivan Petrovic:
Human motion estimation on Lie groups using IMU measurements. IROS 2017: 1965-1972 - [c80]Vladimir Joukov, Jonathan Feng-Shun Lin, Dana Kulic:
Generalized Hebbian algorithm for wearable sensor rotation estimation. IROS 2017: 2248-2253 - [c79]Terry Taewoong Um, Vahid Babakeshizadeh, Dana Kulic:
Exercise motion classification from large-scale wearable sensor data using convolutional neural networks. IROS 2017: 2385-2390 - [c78]Edith Law, Vicky Cai, Qi Feng Liu, Sajin Sasy, Joslin Goh, Alex Blidaru, Dana Kulic:
A Wizard-of-Oz study of curiosity in human-robot interaction. RO-MAN 2017: 607-614 - [e1]Dana Kulic, Yoshihiko Nakamura, Oussama Khatib, Gentiane Venture:
International Symposium on Experimental Robotics, ISER 2016, Tokyo, Japan, October 3-6, 2016. Springer Proceedings in Advanced Robotics 1, Springer 2017, ISBN 978-3-319-50114-7 [contents] - [i4]Terry Taewoong Um, Franz Michael Josef Pfister, Daniel Pichler, Satoshi Endo, Muriel Lang, Sandra Hirche, Urban Fietzek, Dana Kulic:
Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks. CoRR abs/1706.00527 (2017) - 2016
- [j25]Komei Sugiura, Sven Behnke, Dana Kulic, Kimitoshi Yamazaki:
Special issue on machine learning and data engineering in robotics. Adv. Robotics 30(11-12): 705 (2016) - [j24]Agnes W. K. Lam, Danniel Varona-Marin, Yeti Li, Mitchell Fergenbaum, Dana Kulic:
Automated Rehabilitation System: Movement Measurement and Feedback for Patients and Physiotherapists in the Rehabilitation Clinic. Hum. Comput. Interact. 31(3-4): 294-334 (2016) - [j23]Roshanak Houmanfar, Michelle Karg, Dana Kulic:
Movement Analysis of Rehabilitation Exercises: Distance Metrics for Measuring Patient Progress. IEEE Syst. J. 10(3): 1014-1025 (2016) - [j22]Jonathan Feng-Shun Lin, Michelle Karg, Dana Kulic:
Movement Primitive Segmentation for Human Motion Modeling: A Framework for Analysis. IEEE Trans. Hum. Mach. Syst. 46(3): 325-339 (2016) - [j21]Dana Kulic, Gentiane Venture, Katsu Yamane, Emel Demircan, Katja D. Mombaur:
Introduction to the Special Issue on Movement Science for Humans and Humanoids. IEEE Trans. Robotics 32(4): 773-775 (2016) - [j20]Dana Kulic, Gentiane Venture, Katsu Yamane, Emel Demircan, Ikuo Mizuuchi, Katja D. Mombaur:
Anthropomorphic Movement Analysis and Synthesis: A Survey of Methods and Applications. IEEE Trans. Robotics 32(4): 776-795 (2016) - [c77]Gentiane Venture, Vincent Bonnet, Dana Kulic:
Creating Personalized Dynamic Models. Biomechanics of Anthropomorphic Systems 2016: 91-104 - [c76]Kenneth D. Bogert, Jonathan Feng-Shun Lin, Prashant Doshi, Dana Kulic:
Expectation-Maximization for Inverse Reinforcement Learning with Hidden Data. AAMAS 2016: 1034-1042 - [c75]Vincent Bonnet, G. Daune, Vladimir Joukov, Raphaël Dumas, Philippe Fraisse, Dana Kulic, Antoine Seilles, Sebastien Andary, Gentiane Venture:
A constrained Extended Kalman Filter for dynamically consistent inverse kinematics and inertial parameters identification. BioRob 2016: 944-949 - [c74]Aneesha Singh, Ana Tajadura-Jiménez, Nadia Bianchi-Berthouze, Nicolai Marquardt, Monica Tentori, Roberto Bresin, Dana Kulic:
Mind the Gap: A SIG on Bridging the Gap in Research on Body Sensing, Body Perception and Multisensory Feedback. CHI Extended Abstracts 2016: 1092-1095 - [c73]Takashi Aoki, Jonathan Feng-Shun Lin, Dana Kulic, Gentiane Venture:
Segmentation of human upper body movement using multiple IMU sensors. EMBC 2016: 3163-3166 - [c72]Jamie L. S. Waugh, Anton Trinh, Ryan R. Mohammed, William E. McIlroy, Dana Kulic:
Online learning of gait models for calculation of gait parameters. EMBC 2016: 6146-6149 - [c71]Terry Taewoong Um, Dana Kulic:
An unsupervised approach to detecting and isolating athletic movements. EMBC 2016: 6268-6272 - [c70]Rezvan Kianifar, Alex Lee, Sachin Raina, Dana Kulic:
Classification of squat quality with inertial measurement units in the single leg squat mobility test. EMBC 2016: 6273-6276 - [c69]S. Futamure, Vincent Bonnet, Raphaël Dumas, Dana Kulic, Gentiane Venture:
Dynamically consistent inverse kinematics framework using optimizations for human motion analysis. Humanoids 2016: 436-441 - [c68]Josip Cesic, Vladimir Joukov, Ivan Petrovic, Dana Kulic:
Full body human motion estimation on lie groups using 3D marker position measurements. Humanoids 2016: 826-833 - [c67]Jonathan Feng-Shun Lin, Vincent Bonnet, Adina M. Panchea, Nacim Ramdani, Gentiane Venture, Dana Kulic:
Human motion segmentation using cost weights recovered from inverse optimal control. Humanoids 2016: 1107-1113 - [c66]Vladimir Joukov, Rollen S. D'Souza, Dana Kulic:
Human Pose Estimation from Imperfect Sensor Data via the Extended Kalman Filter. ISER 2016: 789-798 - [c65]Christopher Woo, Dana Kulic:
Manoeuvre segmentation using smartphone sensors. Intelligent Vehicles Symposium 2016: 572-577 - [c64]Matthew T. K. Chan, Rob Gorbet, Philip Beesley, Dana Kulic:
Interacting with curious agents: User experience with interactive sculptural systems. RO-MAN 2016: 151-158 - [c63]Zehra Camlica, Allaa R. Hilal, Dana Kulic:
Feature abstraction for driver behaviour detection with stacked sparse auto-encoders. SMC 2016: 3299-3304 - [i3]Terry Taewoong Um, Vahid Babakeshizadeh, Dana Kulic:
Exercise Motion Classification from Large-Scale Wearable Sensor Data Using Convolutional Neural Networks. CoRR abs/1610.07031 (2016) - 2015
- [j19]Cecille Freeman, Dana Kulic, Otman A. Basir:
An evaluation of classifier-specific filter measure performance for feature selection. Pattern Recognit. 48(5): 1812-1826 (2015) - [j18]Emel Demircan, Dana Kulic, Denny Oetomo, Mitsuhiro Hayashibe:
Human Movement Understanding [TC Spotlight]. IEEE Robotics Autom. Mag. 22(3): 22-24 (2015) - [j17]Rajan J. Gill, Dana Kulic, Christopher Nielsen:
Spline Path Following for Redundant Mechanical Systems. IEEE Trans. Robotics 31(6): 1378-1392 (2015) - [c62]Vladimir Joukov, Vincent Bonnet, Michelle Karg, Gentiane Venture, Dana Kulic:
Rhythmic EKF for pose estimation during gait. Humanoids 2015: 1167-1172 - [c61]Mohammadreza Memarian, Rob Gorbet, Dana Kulic:
Control of soft pneumatic finger-like actuators for affective motion generation. IROS 2015: 1691-1697 - [c60]Mohammadreza Memarian, Rob Gorbet, Dana Kulic:
Modelling and experimental analysis of a novel design for soft pneumatic artificial muscles. IROS 2015: 1718-1724 - [c59]Matthew T. K. Chan, Rob Gorbet, Philip Beesley, Dana Kulic:
Curiosity-Based Learning Algorithm for distributed interactive sculptural systems. IROS 2015: 3435-3441 - [c58]Vladimir Joukov, Vincent Bonnet, Gentiane Venture, Dana Kulic:
Constrained dynamic parameter estimation using the Extended Kalman Filter. IROS 2015: 3654-3659 - [c57]Rajan J. Gill, Dana Kulic, Christopher Nielsen:
Path Following for Mobile Manipulators. ISRR (2) 2015: 527-544 - [i2]Shehroz S. Khan, Michelle E. Karg, Dana Kulic, Jesse Hoey:
Detecting falls with X-Factor HMMs when the training data for falls is not available. CoRR abs/1504.02141 (2015) - [i1]Rajan J. Gill, Dana Kulic, Christopher Nielsen:
Spline Path Following for Redundant Mechanical Systems. CoRR abs/1504.06917 (2015) - 2014
- [j16]Ali-Akbar Samadani, Rob Gorbet, Dana Kulic:
Affective Movement Recognition Based on Generative and Discriminative Stochastic Dynamic Models. IEEE Trans. Hum. Mach. Syst. 44(4): 454-467 (2014) - [c56]Sarahjane Burton, Ali-Akbar Samadani, Rob Gorbet, Dana Kulic:
Laban Movement Analysis and Affective Movement Generation for Robots and Other Near-Living Creatures. Dance Notations and Robot Motion 2014: 25-48 - [c55]Jonathan Feng-Shun Lin, Vladimir Joukov, Dana Kulic:
Human motion segmentation by data point classification. EMBC 2014: 9-13 - [c54]Agnes W. K. Lam, Ahmed HajYasien, Dana Kulic:
Improving rehabilitation exercise performance through visual guidance. EMBC 2014: 1735-1738 - [c53]Vladimir Joukov, Michelle Karg, Dana Kulic:
Online tracking of the lower body joint angles using IMUs for gait rehabilitation. EMBC 2014: 2310-2313 - [c52]Ali-Akbar Samadani, Dana Kulic:
Hand gesture recognition based on surface electromyography. EMBC 2014: 4196-4199 - [c51]Jonathan Feng-Shun Lin, Vladimir Joukov, Dana Kulic:
Full-body multi-primitive segmentation using classifiers. Humanoids 2014: 874-880 - [c50]Brandon J. DeHart, Dana Kulic:
Push recovery and online gait generation for 3D bipeds with the foot placement estimator. ICRA 2014: 1937-1942 - [c49]Pouria Fewzee, Ali-Akbar Samadani, Dana Kulic, Fakhri Karray:
Max-dependence regression. IJCNN 2014: 1652-1659 - [c48]Shehroz S. Khan, Michelle E. Karg, Dana Kulic, Jesse Hoey:
X-Factor HMMs for Detecting Falls in the Absence of Fall-Specific Training Data. IWAAL 2014: 1-9 - 2013
- [j15]Ali-Akbar Samadani, Eric Kubica, Rob Gorbet, Dana Kulic:
Perception and Generation of Affective Hand Movements. Int. J. Soc. Robotics 5(1): 35-51 (2013) - [j14]Ali-Akbar Samadani, Ali Ghodsi, Dana Kulic:
Discriminative functional analysis of human movements. Pattern Recognit. Lett. 34(15): 1829-1839 (2013) - [j13]Michelle Karg, Ali-Akbar Samadani, Rob Gorbet, Kolja Kühnlenz, Jesse Hoey, Dana Kulic:
Body Movements for Affective Expression: A Survey of Automatic Recognition and Generation. IEEE Trans. Affect. Comput. 4(4): 341-359 (2013) - [j12]Cecille Freeman, Dana Kulic, Otman Basir:
Feature-Selected Tree-Based Classification. IEEE Trans. Cybern. 43(6): 1990-2004 (2013) - [j11]Muhammad U. Choudry, Tyson A. C. Beach, Jack P. Callaghan, Dana Kulic:
A Stochastic Framework for Movement Strategy Identification and Analysis. IEEE Trans. Hum. Mach. Syst. 43(3): 314-327 (2013) - [c47]Ali-Akbar Samadani, Sarahjane Burton, Rob Gorbet, Dana Kulic:
Laban Effort and Shape Analysis of Affective Hand and Arm Movements. ACII 2013: 343-348 - [c46]Jie Ni, Dana Kulic, Daniel E. Davison:
A model-based feedback-control approach to behavior modification through reward-induced attitude change. ACC 2013: 1956-1963 - [c45]Jonathan Feng-Shun Lin, Dana Kulic:
Human pose recovery for rehabilitation using ambulatory sensors. EMBC 2013: 4799-4802 - [c44]Dana Kulic, Muhammad U. Choudry, Gentiane Venture, Kanako Miura, Eiichi Yoshida:
Quantitative human and robot motion comparison for enabling assistive device evaluation. Humanoids 2013: 196-202 - [c43]Guoting Chang, Dana Kulic:
Robot task error recovery using Petri nets learned from demonstration. ICAR 2013: 1-6 - [c42]Cecille Freeman, Dana Kulic, Otman Basir:
Multi-modal Tree-Based SVM Classification. ICMLA (1) 2013: 65-71 - [c41]Safwan Choudhury, Dana Kulic:
Gait generation via the Foot Placement Estimator for 3D bipedal robots. ICRA 2013: 5689-5695 - [c40]Rajan J. Gill, Dana Kulic, Christopher Nielsen:
Robust path following for robot manipulators. IROS 2013: 3412-3418 - [c39]Guoting Chang, Dana Kulic:
Robot task learning from demonstration using Petri nets. RO-MAN 2013: 31-36 - [c38]Tianxiang Zhang, Michelle Karg, Jonathan Feng-Shun Lin, Dana Kulic, Gentiane Venture:
IMU based single stride identification of humans. RO-MAN 2013: 220-225 - [c37]Guoting Chang, Dana Kulic:
Motion learning from observation using Affinity Propagation clustering. RO-MAN 2013: 662-667 - [c36]Takashi Aoki, Gentiane Venture, Dana Kulic:
Segmentation of Human Body Movement Using Inertial Measurement Unit. SMC 2013: 1181-1186 - [c35]Michelle Karg, Wolfgang Seiberl, Jesse Hoey, Dana Kulic:
Human Movement Analysis: Extension of the F-Statistic to Time Series Using HMM. SMC 2013: 3870-3875 - 2012
- [j10]Dana Kulic, Christian Ott, Dongheui Lee, Junichi Ishikawa, Yoshihiko Nakamura:
Incremental learning of full body motion primitives and their sequencing through human motion observation. Int. J. Robotics Res. 31(3): 330-345 (2012) - [c34]Jonathan Feng-Shun Lin, Dana Kulic:
Segmenting human motion for automated rehabilitation exercise analysis. EMBC 2012: 2881-2884 - [c33]Ali-Akbar Samadani, Dana Kulic, Rob Gorbet:
Multi-constrained inverse kinematics for the human hand. EMBC 2012: 6780-6784 - [c32]Ali-Akbar Samadani, Robert B. Gorbet, Dana Kulic:
Gender Differences in the Perception of Affective Movements. HBU 2012: 65-76 - [c31]Shehroz S. Khan, Michelle E. Karg, Jesse Hoey, Dana Kulic:
Towards the detection of unusual temporal events during activities using HMMs. UbiComp 2012: 1075-1084 - [c30]Safwan Choudhury, Derek Wight, Dana Kulic:
Rapid prototyping toolchain for humanoid robotics applications. Humanoids 2012: 817-822 - [c29]Joseph Sun de la Cruz, William S. Owen, Dana Kulic:
Online learning of inverse dynamics via Gaussian Process Regression. IROS 2012: 3583-3590 - [c28]Joseph Sun de la Cruz, Dana Kulic, William S. Owen, Ergun Calisgan, Elizabeth A. Croft:
On-Line Dynamic Model Learning for Manipulator Control. SyRoCo 2012: 869-874 - 2011
- [c27]Joseph Sun de la Cruz, Dana Kulic, William S. Owen:
Online Incremental Learning of Inverse Dynamics Incorporating Prior Knowledge. AIS 2011: 167-176 - [c26]Zhenning Li, Dana Kulic:
Local Shape Context Based Real-time Endpoint Body Part Detection and Identification from Depth Images. CRV 2011: 219-226 - [c25]Muhammad U. Choudry, Matthew Pillar, Tyson A. C. Beach, Dana Kulic, Jack P. Callaghan:
Detecting changes in human motion using stochastic distance measures. EMBC 2011: 3475-3478 - [c24]Ali-Akbar Samadani, Brandon J. DeHart, Kirsten Robinson, Dana Kulic, Eric Kubica, Robert B. Gorbet:
A study of human performance in recognizing expressive hand movements. RO-MAN 2011: 93-100 - [c23]Cecille Freeman, Dana Kulic, Otman Basir:
Joint feature selection and hierarchical classifier design. SMC 2011: 1728-1734 - [p2]Dana Kulic, Danica Kragic, Volker Krüger:
Learning Action Primitives. Visual Analysis of Humans 2011: 333-353 - 2010
- [c22]Joseph Sun de la Cruz, Dana Kulic, William S. Owen:
Learning inverse dynamics for redundant manipulator control. AIS 2010: 1-6 - [c21]Zhenning Li, Dana Kulic:
Particle filter based human motion tracking. ICARCV 2010: 555-560 - [c20]Wataru Takano, Hirotaka Imagawa, Dana Kulic, Yoshihiko Nakamura:
What do you expect from a robot that tells your future? The crystal ball. IROS 2010: 1780-1785 - [c19]Zhenning Li, Dana Kulic:
A stereo camera based full body human motion capture system using a partitioned particle filter. IROS 2010: 3428-3434 - [c18]Dana Kulic, Yoshihiko Nakamura:
Incremental learning of human behaviors using hierarchical hidden Markov models. IROS 2010: 4649-4655 - [p1]Dana Kulic, Yoshihiko Nakamura:
Incremental Learning of Full Body Motion Primitives. From Motor Learning to Interaction Learning in Robots 2010: 383-406
2000 – 2009
- 2009
- [j9]Dana Kulic, Yoshihiko Nakamura:
Incremental Learning and Memory Consolidation of Whole Body Human Motion Primitives. Adapt. Behav. 17(6): 484-507 (2009) - [j8]Christoph Bartneck, Dana Kulic, Elizabeth A. Croft, Susana Zoghbi:
Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots. Int. J. Soc. Robotics 1(1): 71-81 (2009) - [j7]Dana Kulic, Wataru Takano, Yoshihiko Nakamura:
Online Segmentation and Clustering From Continuous Observation of Whole Body Motions. IEEE Trans. Robotics 25(5): 1158-1166 (2009) - [c17]Susana Zoghbi, Dana Kulic, Elizabeth A. Croft, H. F. Machiel Van der Loos:
On Line - affective state reporting device: a tool for evaluating affective state inference systems. HRI 2009: 311-312 - [c16]Dana Kulic, Dongheui Lee, Yoshihiko Nakamura:
Whole body motion primitive segmentation from monocular video. ICRA 2009: 3166-3172 - [c15]Susana Zoghbi, Elizabeth A. Croft, Dana Kulic, H. F. Machiel Van der Loos:
Evaluation of affective state estimations using an on-line reporting device during human-robot interactions. IROS 2009: 3742-3749 - [c14]Dana Kulic, Yoshihiko Nakamura:
Comparative study of representations for segmentation of whole body human motion data. IROS 2009: 4300-4305 - [c13]Dana Kulic, Hirotaka Imagawa, Yoshihiko Nakamura:
Online acquisition and visualization of motion primitives for humanoid robots. RO-MAN 2009: 1210-1215 - 2008
- [j6]Dana Kulic, Wataru Takano, Yoshihiko Nakamura:
Incremental Learning, Clustering and Hierarchy Formation of Whole Body Motion Patterns using Adaptive Hidden Markov Chains. Int. J. Robotics Res. 27(7): 761-784 (2008) - [c12]Dana Kulic, Dongheui Lee, Christian Ott, Yoshihiko Nakamura:
Incremental learning of full body motion primitives for humanoid robots. Humanoids 2008: 326-332 - [c11]Dongheui Lee, Dana Kulic, Yoshihiko Nakamura:
Missing motion data recovery using factorial hidden Markov models. ICRA 2008: 1722-1728 - [c10]Dana Kulic, Wataru Takano, Yoshihiko Nakamura:
Combining automated on-line segmentation and incremental clustering for whole body motions. ICRA 2008: 2591-2598 - [c9]Dana Kulic, Yoshihiko Nakamura:
Scaffolding on-line segmentation of full body human motion patterns. IROS 2008: 2860-2866 - 2007
- [j5]Dana Kulic, Elizabeth A. Croft:
Pre-collision safety strategies for human-robot interaction. Auton. Robots 22(2): 149-164 (2007) - [j4]Dana Kulic, Elizabeth A. Croft:
Physiological and subjective responses to articulated robot motion. Robotica 25(1): 13-27 (2007) - [j3]Dana Kulic, Elizabeth A. Croft:
Affective State Estimation for Human-Robot Interaction. IEEE Trans. Robotics 23(5): 991-1000 (2007) - [c8]Wataru Takano, Dana Kulic, Yoshihiko Nakamura:
Interactive topology formation of linguistic space and motion space. IROS 2007: 1416-1422 - [c7]Dana Kulic, Wataru Takano, Yoshihiko Nakamura:
Representability of human motions by factorial hidden Markov models. IROS 2007: 2388-2393 - [c6]Katayon Radkhah, Dana Kulic, Elizabeth A. Croft:
Dynamic parameter identification for the CRS A460 robot. IROS 2007: 3842-3847 - [c5]Dana Kulic, Wataru Takano, Yoshihiko Nakamura:
Towards Lifelong Learning and Organization of Whole Body Motion Patterns. ISRR 2007: 87-97 - [c4]Dana Kulic, Wataru Takano, Yoshihiko Nakamura:
Incremental on-line hierarchical clustering of whole body motion patterns. RO-MAN 2007: 1016-1021 - 2006
- [j2]Dana Kulic, Elizabeth A. Croft:
Real-time safety for human-robot interaction. Robotics Auton. Syst. 54(1): 1-12 (2006) - [c3]Dana Kulic, Elizabeth A. Croft:
Estimating Robot Induced Affective State using Hidden Markov Models. RO-MAN 2006: 257-262 - 2005
- [j1]Dana Kulic, Elizabeth A. Croft:
Safe planning for human-robot interaction. J. Field Robotics 22(7): 383-396 (2005) - [c2]Dana Kulic, Elizabeth A. Croft:
Anxiety detection during human-robot interaction. IROS 2005: 616-621 - 2004
- [c1]Dana Kulic, Elizabeth A. Croft:
Safe Planning for Human-Robot Interaction. ICRA 2004: 1882-1887
Coauthor Index
Pamela Carreno-Medrano
aka: Pamela Carreno
aka: Pamela Carreno
Robert B. Gorbet
aka: Rob Gorbet
aka: Rob Gorbet
Michelle Karg
aka: Michelle E. Karg
aka: Michelle E. Karg
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