imagine.bib

@article{Ugur-2019-ROB,
  author = {E. Ugur and H. Girgin},
  title = {Compliant Parametric Dynamic Movement Primitives},
  journal = {Robotica},
  year = {2019},
  url = {https://zenodo.org/record/3415425\#.XX9zndsza3I}
}
@article{Imre-2019-AB,
  author = {M. Imre and E. Oztop and Y. Nagai and E. Ugur},
  title = {Affordance-Based Altruistic Robotic Architecture for Human-Robot Collaboration},
  journal = {Adaptive Behavior},
  year = {2019},
  volume = {27},
  number = {4},
  pages = {223--241},
  doi = {10.1177/1059712318824697}
}
@article{Seker-2019-ROBOT,
  author = {M.Y. Seker and A.E. Tekden and E. Ugur},
  title = {Deep Effect Trajectory Prediction in Robot Manipulation},
  journal = {Robotics and Autonomous Systems},
  doi = {10.1016/j.robot.2019.07.003},
  volume = {119},
  pages = {173--184},
  year = {2019},
  url = {https://zenodo.org/record/3384683}
}
@inproceedings{Seker-2019-RSS,
  title = {Conditional Neural Movement Primitives},
  author = {M.Y. Seker and M. Imre and J. Piater and E. Ugur},
  booktitle = {Robotics: Science and Systems (RSS)},
  year = {2019},
  address = {Freiburg, Germany},
  doi = {10.5281/zenodo.3383650}
}
@inproceedings{Imre-2019-TORK,
  title = {Object Manipulation Learning via Conditional Neural Movement Primitives},
  author = {Mert Imre and M.Yunus Seker ve Emre Ugur},
  booktitle = {Turkiye Robotbilim Konferansi (Turkish Robotics Conference)},
  year = {2019},
  note = {poster publication, best poster award}
}
@inproceedings{Girgin-2018-IROS,
  title = {Associative Skill Memory Models},
  author = {H. Girgin and E. Ugur},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages = {6043--6048},
  address = {Madrid, Spain},
  year = {2018},
  doi = {10.5281/zenodo.3416360}
}
@article{Zech-2019-IJRR,
  title = {{Action representations in robotics: A taxonomy and 
    systematic Classification}},
  author = {Zech, Philipp and Renaudo, Erwan and Haller, Simon 
    and Zhang, Xiang and Piater, Justus},
  journal = {{International Journal of Robotics Research}},
  year = 2019,
  publisher = {SAGE},
  doi = {10.1177/0278364919835020}
}
@inproceedings{Borras-2018-IROS,
  author = {Júlia Borràs and Raphael Heudorfer and Samuel Rader
    and Peter Kaiser and Tamim Asfour},
  title = {The KIT Swiss Knife Gripper for Disassembly Tasks: A
    Multi-Functional Gripper for Bimanual Manipulation
    with a Single Arm},
  booktitle = {IEEE/RSJ International Conference on Intelligent
    Robots and Systems (IROS)},
  pages = {4590--4597},
  year = 2018,
  iattachedto = {D7.1}
}
@article{Borras-2018-RAL-Submitted,
  author = {Júlia Borràs and Raphael Heudorfer and Samuel Rader and 
    Peter Kaiser and Tamim Asfour},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  title = {{The KIT Swiss Knife Gripper for Disassembly Tasks: A Multi-Functional 
    Gripper for Bimanual Manipulation with a Single Arm}},
  year = 2018,
  iattachedto = {Periodic-1-PartB},
  iobsoletedby = {Borras-2018-IROS},
  note = {Submitted}
}
@inproceedings{Girgin-2017-ICRAWS,
  title = {Towards Generalizable Associative Skill Memories},
  author = {Girgin, Hakan and Ugur, Emre},
  booktitle = {ICRA Workshop on Learning and control for autonomous manipulation 
    systems: the role of dimensionality reduction},
  year = {2017},
  doi = {10.5281/zenodo.1183528},
  url = {https://doi.org/10.5281/zenodo.1183528},
  iattachedto = {D4.1}
}
@inproceedings{Girgin-2018-TORK,
  title = {Parametrik Dinamik Motor Primitifleri},
  author = {Hakan Girgin and Emre Ugur},
  booktitle = {Turkiye Robotbilim Konferansi (Turkish Robotics Conference)},
  year = {2018},
  iattachedto = {Periodic-1-PartB}
}
@inproceedings{Hangl-2017-IROS,
  title = {{Autonomous Skill-centric Testing using Deep Learning}},
  author = {Hangl, Simon and Stabinger, Sebastian and Piater, Justus},
  booktitle = {{IEEE/RSJ International Conference on
    Intelligent Robots and Systems}},
  year = 2017,
  month = 8,
  day = 13,
  pages = {95--102},
  publisher = {IEEE},
  address = {{Piscataway, NJ}},
  doi = {10.1109/IROS.2017.8202143},
  url = {https://iis.uibk.ac.at/public/papers/Hangl-2017-IROS.pdf},
  abstract = {Software testing is an important tool to ensure
    software quality. This is a hard task in robotics due to dynamic
    environments and the expensive development and time-consuming
    execution of test cases. Most testing approaches use model-based
    and/or simulation-based testing to overcome these problems. We
    propose model-free skill-centric testing in which a robot
    autonomously executes skills in the real world and compares it
    to previous experiences. The skills are selected by maximising
    the expected information gain on the distribution of erroneous
    software functions. We use deep learning to model the sensor
    data observed during previous successful skill executions and to
    detect irregularities. Sensor data is connected to function call
    profiles such that certain misbehaviour can be related to
    specific functions. We evaluate our approach in simulation and
    in experiments with a KUKA LWR 4+ robot by purposefully
    introducing bugs to the software. We demonstrate that these bugs
    can be detected with high accuracy and without the need for the
    implementation of specific tests or task-specific
    models.},
  iattachedto = {Periodic-1-PartB}
}
@inproceedings{Seker-2018-TORK,
  title = {Sekil Baglami Kullanarak Eylem-Etki Tahmini},
  author = {M. Yunus Seker and Erhan Cagirici and Emre Ugur},
  booktitle = {Turkiye Robotbilim Konferansi (Turkish Robotics Conference)},
  year = {2018},
  iattachedto = {D4.1}
}
@inproceedings{Tekden-2018-TORK,
  title = {Kaldirma Aksiyonuyla Olusan Yorungenin Uzun Kisa Donem Hafiza Modeliyle Tahmini},
  author = {Ahmet E. Tekden and Emre Ugur},
  booktitle = {Turkiye Robotbilim Konferansi (Turkish Robotics Conference)},
  year = {2018},
  iattachedto = {D4.1}
}
@article{Taniguchi-2018-arXiv-1801-08829,
  title = {{Symbol Emergence in Cognitive Developmental Systems: a Survey}},
  author = {Taniguchi, Tadahiro and Ugur, Emre and Hoffmann, Matej and Jamone, Lorenzo 
    and Nagai, Takayuki and Rosman, Benjamin and Matsuka, Toshihiko and Iwahashi, Naoto 
    and Oztop, Erhan and Piater, Justus and W\"{o}rg\"{o}tter, Florentin},
  year = 2018,
  journal = {IEEE Transactions on Cognitive and Developmental Systems},
  howpublished = {arXiv:1801.08829},
  url = {https://arxiv.org/abs/1801.08829},
  note = {doi: 10.1109/TCDS.2018.2867772},
  iattachedto = {Periodic-1-PartB}
}
@article{Zech-2017-AB,
  title = {{Computational models of affordance in robotics: a
    taxonomy and systematic classification}},
  author = {Zech, Philipp and Haller, Simon and Rezapour Lakani, Safoura 
    and Ridge, Barry and Ugur, Emre and Piater, Justus},
  journal = {{Adaptive Behavior}},
  year = 2017,
  month = 9,
  day = 18,
  volume = 25,
  number = 5,
  pages = {235--271},
  publisher = {SAGE},
  address = {{London, UK}},
  doi = {10.1177/1059712317726357},
  url = {https://iis.uibk.ac.at/public/papers/Zech-2017-AB.pdf},
  abstract = {J. J. Gibson's concept of affordance, one of the
    central pillars of ecological psychology, is a truly remarkable
    idea that provides a concise theory of animal perception
    predicated on environmental interaction. It is thus not
    surprising that this idea has also found its way into robotics
    research as one of the underlying theories for action
    perception. The success of the theory in this regard has meant
    that existing research is both abundant and diffuse by virtue of
    the pursuit of multiple different paths and techniques with the
    common goal of enabling robots to learn, perceive, and act upon
    affordances. Up until now, there has existed no systematic
    investigation of existing work in this field. Motivated by this
    circumstance, in this article, we begin by defining a taxonomy
    for computational models of affordances rooted in a
    comprehensive analysis of the most prominent theoretical ideas
    of import in the field. Subsequently, after performing a
    systematic literature review, we provide a classification of
    existing research within our proposed taxonomy. Finally, by both
    quantitatively and qualitatively assessing the data resulting
    from the classification process, we highlight gaps in the
    research terrain and outline open questions for the
    investigation of affordances in robotics that we believe will
    help inform future work, prioritize research goals, and
    potentially advance the field toward greater robot
    autonomy.},
  iattachedto = {Periodic-1-PartB}
}
@inproceedings{Zhou-2019-IROS,
  title = {Learning Via-Point Movement Primitives with Inter- and
    Extrapolation Capabilities},
  author = {You Zhou and Jianfeng Gao and Tamim Asfour},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots
    and Systems (IROS)},
  year = 2019,
  organization = {IEEE},
  iattachedto = {D7.1}
}
@article{suarez2019practical,
  author = {Su{\'{a}}rez-Hern{\'{a}}ndez, Alejandro and Aleny{\`{a}}, Guillem and Torras, Carme},
  doi = {10.1109/lra.2019.2901905},
  url = {https://zenodo.org/record/3463404#.XY4cDPexXRZ},
  journal = {IEEE Robotics and Automation Letters},
  mendeley-groups = {research_plan},
  number = {3},
  pages = {2282--2288},
  title = {{Practical Resolution Methods for MDPs in Robotics Exemplified with Disassembly Planning}},
  volume = {4},
  year = {2019},
  note = {presented at ICRA 2019}
}
@inproceedings{interleaving2018suarez,
  author = {Suarez-Hernandez, Alejandro and Alenya, Guillem and Torras, Carme},
  booktitle = {2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  doi = {10.1109/IROS.2018.8593847},
  isbn = {978-1-5386-8094-0},
  mendeley-groups = {msc thesis,2018-2019_disassembly_asuarez,research_plan},
  month = 10,
  pages = {4061--4066},
  publisher = {IEEE},
  title = {{Interleaving Hierarchical Task Planning and Motion Constraint Testing for Dual-Arm Manipulation}},
  url = {https://zenodo.org/record/3463479#.XY4i_fexXRZ},
  year = {2018}
}
@inproceedings{andriella2019natural,
  author = {Andriella, Antonio and Su{\'{a}}rez-Hern{\'{a}}ndez, Alejandro and Segovia-Aguas, Javier and Torras, Carme and Aleny{\`{a}}, Guillem},
  booktitle = {11th International Conference on Social Robotics},
  pages = {to appear},
  publisher = {Springer},
  title = {{Natural teaching of robot-assisted rearranging exercises for cognitive training}},
  year = {2019}
}
@inproceedings{suarez2019automatic,
  author = {Su{\'{a}}rez-Hern{\'{a}}ndez, Alejandro and Andriella, Antonio and Taranovi{\'c}, Aleksandar and Segovia-Aguas, Javier and Torras, Carme and Aleny{\`{a}}, Guillem},
  booktitle = {IEEE ICRA},
  pages = {submitted},
  title = {{Automatic Learning of Cognitive Exercises for Socially Assistive Robotics}},
  year = {2019}
}
@inproceedings{suarez2019leveraging,
  author = {Su{\'{a}}rez-Hern{\'{a}}ndez, Alejandro and Gaugry, Thierry and Segovia-Aguas, Javier and Bernardin, Antonin and Torras, Carme and Marchal, Maud and Aleny{\`{a}}, Guillem},
  booktitle = {IEEE ICRA},
  pages = {submitted},
  title = {{Leveraging Multiple Environments for Learning and Decision Making: a Dismantling Use Case}},
  year = {2020}
}
@inproceedings{Bernardin-2019-IROS,
  title = {An Interactive Physically-based Model for Active Suction Phenomenon Simulation},
  author = {Bernardin, Antonin and Duriez, Christian and Marchal, Maud},
  booktitle = {Proc. of International Conference on Intelligent Robots and Systems (IROS)},
  year = {2019},
  organization = {IEEE/RJS}
}
@inproceedings{Lagneau2019,
  title = {Active Deformation through Visual Servoing of Soft Objects},
  author = {Lagneau, Romain and Krupa, Alexandre and Marchal, Maud},
  booktitle = {Technical Report: paper submitted to ICRA 2020},
  year = {2019}
}
@techreport{KIT_GripperV2Datasheet,
  title = {KIT Multifunctional Robotics Gripper (V2)},
  author = {Felix Hundhausen and Cornelius Klas and Tamim Asfour},
  year = {2019},
  institution = {Karlsruhe Institute of Technology}
}
@inproceedings{Hollenstein-2019-ICLR-Submitted,
  title = {Improving Exploration of Deep Reinforcement Learning using Planning for Policy Search},
  author = {Hollenstein, Jakob J. and Renaudo, Erwan and Piater, Justus},
  booktitle = {Submitted to International Conference on Learning Representations},
  year = {2020},
  url = {https://openreview.net/forum?id=rJe7CkrFvS},
  note = {under review}
}
@techreport{RenaudoZP2019,
  title = {ADES~--~Autonomous Learning of Effects and Effects Models},
  author = {Renaudo, Erwan and Zech, Philipp and Piater, Justus},
  year = {2019},
  institution = {University of Innsbruck}
}
@article{Lueddecke-2019-RAS,
  title = {Fine-grained Action Plausibility Rating},
  author = {Lueddecke, Timo and Woergoetter, Florentin},
  journal = {Robotics and Autonomous Systems},
  year = 2019,
  note = {Submitted}
}
@techreport{yildiz2019cloud2mesh,
  title = {Pose Estimation of 2D Recognized Parts using
	Pointcloud and Mesh Processing},
  author = {Yildiz E., Woergoetter F.},
  year = {2019},
  institution = {Georg-August University of Goettingen}
}
@inproceedings{Yildiz-2019-SITIS,
  title = {DCNN-Based Screw Detection for Automated Disassembly Processes},
  author = {Yildiz, Erenus and W\"org\"otter, Florentin},
  booktitle = {SITIS(2019), the 15th International Conference on Signal Image Technology and Internet based Systems},
  year = {2019}
}
@techreport{yildiz2019gapdetection,
  title = {Visual Detection of Gaps in Disassembly
	Routines using Stereo-Vision},
  author = {Yildiz E., Woergoetter F.},
  year = {2019},
  institution = {Georg-August University of Goettingen}
}
@article{KartmannPaus-2018-RAL,
  author = {R. Kartmann and F. Paus and M. Grotz and T. Asfour},
  title = {Extraction of Physically Plausible Support Relations to Predict and Validate Manipulation Action Effects},
  pages = {3991--3998},
  volume = {3},
  number = {4},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  year = {2018},
  iattachedto = {Periodic-2-PartB}
}
@inproceedings{Ferreira2019,
  author = {Fabio Ferreira and Lin Shao and Tamim Asfour and Jeannette Bohg},
  title = {Learning Visual Dynamics Models of Rigid Objects using Relational Inductive Biases},
  booktitle = {NeurIPS 2019 Graph Representation Learning Workshop},
  pages = {0--0},
  year = {2019},
  url = {https://sites.google.com/view/dynamicsmodels/home?authuser=0},
  iattachedto = {Periodic-2-PartB}
}