publications
Journals
- Computational Models of Affordance in Robotics: A Taxonomy and Systematic Classification. Adaptive Behavior, 2017.
- Self-Supervised Online Learning of Basic Object Push Affordances. International Journal of Advanced Robotic Systems, 2015.
Conferences
- Convolutional Encoder-Decoder Networks for Robust Image-to-Motion Prediction. In International Conference on Robotics in Alpe-Adria Danube Region (RAAD) (Accepted), 2019.
- Learning to Write Anywhere with Spatial Transformer Image-to-Motion Encoder-Decoder Networks. In 2019 IEEE International Conference on Robotics and Automation (ICRA), 2019.
- Base Frame Calibration of a Reconfigurable Multi-Robot System with Kinesthetic Guidance. In International Conference on Robotics in Alpe-Adria Danube Region, 2018.
- Rapid State Machine Assembly for Modular Robot Control Using Meta-Scripting, Templating and Code Generation. In IEEE-RAS 17th International Conference on Humanoid Robots (Humanoids), 2017. [Code]
- Active Reconfiguration of Software and Hardware in a Robotic Workcell. In 20th International Multiconference Information Society (IS): Robotics, 2017.
- SMACHA : An API for Rapid State Machine Assembly. In 20th International Multiconference Information Society (IS): Robotics, 2017.
- A Reconfigurable Robot Workcell in the Automotive Industry. In 26th International Electrotechnical and Computer Science Conference (ERK), 2017.
- Rapid Hardware and Software Reconfiguration in a Robotic Workcell. In 18th International Conference on Advanced Robotics (ICAR), 2017.
- Action-Grounded Surface Geometry and Volumetric Shape Feature Representations for Object Affordance Prediction. In IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), 2016.
- Comparison of Action-Grounded and Non-Action-Grounded 3-D Shape Features for Object Affordance Classification. In 17th International Conference on Advanced Robotics (ICAR), 2015.
- Transfer of Assembly Operations to New Workpiece Poses by Adaptation to the Desired Force Profile. In 16th International Conference on Advanced Robotics (ICAR), 2013.
- Action-Grounded Push Affordance Bootstrapping of Unknown Objects. In 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013.
- Self-Supervised Cross-Modal Online Learning of Basic Object Affordances for Developmental Robotic Systems. In 2010 IEEE International Conference on Robotics and Automation (ICRA), 2010.
- A System for Learning Basic Object Affordances Using a Self-Organizing Map. In Proceedings of the First International Conference on Cognitive Systems (CogSys), 2008.
- Towards Learning Basic Object Affordances from Object Properties. In Proceedings of the Eight International Conference on Epigenetic Robotics (EpiRob), 2008.
- A System for Continuous Learning of Visual Concepts. In Proceedings of the Fifth International Conference on Computer Vision Systems (ICVS), 2007.
- Interaktiven Sistem Za Kontinuirano Učenje Vizualnih Konceptov. In Proceedings of the Sixteenth Electrotechnical and Computer Science Conference (ERK), 2007.
- On Different Modes of Continuous Learning of Visual Properties. In Proceedings of the Fifteenth Electrotechnical and Computer Science Conference (ERK), 2006.
Workshops
- Relevance Determination for Learning Vector Quantization Using the Fisher Criterion Score. In Proceedings of the Seventeenth Computer Vision Winter Workshop (CVWW), 2012.
- Unsupervised Learning of Basic Object Affordances from Object Properties. In Proceedings of the Fourteenth Computer Vision Winter Workshop (CVWW), 2009.
- A Framework for Continuous Learning of Simple Visual Concepts. In Proceedings of the Twelveth Computer Vision Winter Workshop (CVWW), 2007.
- Robotic Affordance Learning: Old Ideas, Recent Developments, and Potential Paths Forward. In Robotics in the 21st Century: Challenges and Promises - International Workshop, 25.
Technical Reports
- DR 5.6 Framework for Continuous Learning with Different Levels of Supervision: Cognitive Systems for Cognitive Assistants. EU FP6 CoSy Project Year 3 Deliverable, 2007.
Theses
- Learning Basic Object Affordances in a Robotic System. Ph.D. Thesis, 2014.