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ORCIDDana Kulic
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- affiliation: University of Waterloo, Canada
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2020 – today
- 2023
[j51]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)- [j50]Wanxin Jin, Todd D. Murphey, Dana Kulic, Neta Ezer, Shaoshuai Mou:
Learning From Sparse Demonstrations. IEEE Trans. Robotics 39(1): 645-664 (2023) - [j49]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) - [c128]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 - [c127]Ege Gursoy, Benjamin Navarro, Akansel Cosgun, Dana Kulic, Andrea Cherubini:
Towards Vision-Based Dual Arm Robotic Fruit Harvesting. CASE 2023: 1-6 - [c126]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 - [c125]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 - [c124]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 - [c123]Hashini Senaratne, Alex Pitt, Fletcher Talbot, Peyman Moghadam, Pavan Sikka, David Howard, Jason L. Williams, Dana Kulic, Cécile Paris:
Measuring Situational Awareness Latency in Human-Robot Teaming Experiments. RO-MAN 2023: 2624-2631 - [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
- [j48]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) - [j47]Vladimir Joukov, Dana Kulic:
Fast Approximate Multioutput Gaussian Processes. IEEE Intell. Syst. 37(4): 56-69 (2022) - [j46]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) - [j45]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) - [j44]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 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 Burke:
Adapting Neural Models with Sequential Monte Carlo Dropout. CoRR abs/2210.15779 (2022) - [i29]Nicole L. Robinson, Jason L. 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
- [j43]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) - [j42]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) - [j41]Yanran Jiang, Peter Malliaras, Bernard K. Chen, Dana Kulic:
Model-based data augmentation for user-independent fatigue estimation. Comput. Biol. Medicine 137: 104839 (2021) - [j40]Wanxin Jin, Dana Kulic, Shaoshuai Mou, Sandra Hirche:
Inverse optimal control from incomplete trajectory observations. Int. J. Robotics Res. 40(6-7) (2021) - [j39]Kal Backman, Dana Kulic, Hoam Chung:
Learning to Assist Drone Landings. IEEE Robotics Autom. Lett. 6(2): 3192-3199 (2021) - [j38]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) - [j37]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) - [j36]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) - [j35]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
- [j34]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) - [j33]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) - [j32]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
- [j31]Thomas Beckers, Dana Kulic, Sandra Hirche:
Stable Gaussian process based tracking control of Euler-Lagrange systems. Autom. 103: 390-397 (2019) - [j30]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) - [j29]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) - [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]