  | Kopicki, M., Detry, R., Adjigble, M., Stolkin, R., Leonardis, A., & Wyatt, J. (2015). One shot learning and generation of dexterous grasps for novel objects. International Journal of Robotics Research. doi:10.1177/0278364915594244  Peer Reviewed verified by ORBi |
Hyttinen, E., Kragic, D., & Detry, R. (2015). Learning the Tactile Signatures of Prototypical Object Parts for Robust Part-based Grasping of Novel Objects. In IEEE International Conference on Robotics and Automation. doi:10.1109/ICRA.2015.7139883 Peer reviewed |
 | Krishna Moorthy Parvathi, S. M., Detry, R., Boigelot, B., & Mercatoris, B. (05 March 2014). A vision-based autonomous inter-row weeder [Paper presentation]. ENVITAM PhD Student Day, Université catholique de Louvain, Louvain-la-Neuve, Belgium. |
Hjelm, M., Detry, R., Ek, C. H., & Kragic, D. (2014). Representations for Cross-task, Cross-object Grasp Transfer. In IEEE International Conference on Robotics and Automation. doi:10.1109/ICRA.2014.6907697 Peer reviewed |
Kopicki, M., Detry, R., Schmidt, F., Borst, C., Stolkin, R., & Wyatt, J. L. (2014). Learning dextrous grasps that generalise to novel objects by combining hand and contact models. In IEEE International Conference on Robotics and Automation. Peer reviewed |
Rietzler, A., Detry, R., & Piater, J. (2013). Inertially-safe Grasping of Novel Objects [Paper presentation]. Cognitive Robotics Systems: Replicating Human Actions and Activities (Workshop at IROS 2013). |
Detry, R., Ek, C. H., Madry, M., & Kragic, D. (2013). Learning a Dictionary of Prototypical Grasp-predicting Parts from Grasping Experience. In IEEE International Conference on Robotics and Automation. doi:10.1109/ICRA.2013.6630635 Peer reviewed |
Hjelm, M., Ek, C. H., Detry, R., Kjellström, H., & Kragic, D. (2013). Sparse Summarization of Robotic Grasp Data. In IEEE International Conference on Robotics and Automation. Peer reviewed |
Detry, R., & Piater, J. (2013). Unsupervised Learning Of Predictive Parts For Cross-object Grasp Transfer. In IEEE/RSJ International Conference on Intelligent Robots and Systems. Peer reviewed |
Detry, R., Hjelm, M., Ek, C. H., & Kragic, D. (2013). Generalizing Task Parameters Through Modularization [Paper presentation]. Autonomous Learning Workshop (Workshop at ICRA 2013). |
Detry, R., Ek, C. H., Madry, M., Piater, J., & Kragic, D. (2012). Generalizing Grasps Across Partly Similar Objects. In IEEE International Conference on Robotics and Automation. doi:10.1109/ICRA.2012.6224992 Peer reviewed |
Madry, M., Ek, C. H., Detry, R., Hang, K., & Kragic, D. (2012). Improving Generalization for 3D Object Categorization with Global Structure Histograms. In IEEE/RSJ International Conference on Intelligent Robots and Systems. Peer reviewed |
Detry, R., Ek, C. H., Madry, M., & Kragic, D. (2012). Compressing Grasping Experience into a Dictionary of Prototypical Grasp-predicting Parts [Paper presentation]. International Workshop on Human-Friendly Robotics. |
Bekiroglu, Y., Detry, R., & Kragic, D. (2012). Grasp Stability from Vision and Touch [Paper presentation]. Advances in Tactile Sensing and Touch-based Human Robot Interaction (Workshop at IROS 2012). |
  | Piater, J., JODOGNE, S., Detry, R., Kraft, D., Krüger, N., Kroemer, O., & Peters, J. (2011). Learning Visual Representations for Perception-Action Systems. International Journal of Robotics Research, 30 (3), 294-307. doi:10.1177/0278364910382464 Peer Reviewed verified by ORBi |
Bekiroglu, Y., Detry, R., & Kragic, D. (2011). Learning Tactile Characterizations Of Object- And Pose-specific Grasps. In IEEE/RSJ International Conference on Intelligent Robots and Systems. doi:10.1109/IROS.2011.6094878 Peer reviewed |
 | Bodenhagen, L., Detry, R., Piater, J., & Krüger, N. (2011). What a successful grasp tells about the success chances of grasps in its vicinity. In ICDL-EpiRob. Peer reviewed |
 | Detry, R., & Piater, J. (2011). Grasp Generalization Via Predictive Parts [Paper presentation]. Austrian Robotics Workshop. |
 | Detry, R., Kraft, D., Kroemer, O., Bodenhagen, L., Peters, J., Krüger, N., & Piater, J. (2011). Learning Grasp Affordance Densities. Paladyn. Journal of Behavioral Robotics, 2 (1), 1-17. doi:10.2478/s13230-011-0012-x Peer Reviewed verified by ORBi |
Bekiroglu, Y., Detry, R., & Kragic, D. (2011). Joint Observation of Object Pose and Tactile Imprints for Online Grasp Stability Assessment [Paper presentation]. Manipulation Under Uncertainty (Workshop at IEEE ICRA 2011). |
 | Detry, R., & Piater, J. (2010). Continuous Surface-point Distributions for 3D Object Pose Estimation and Recognition. In Asian Conference on Computer Vision. Peer reviewed |
Detry, R., Kraft, D., Buch, A. G., Krüger, N., & Piater, J. (2010). Refining Grasp Affordance Models by Experience. In IEEE International Conference on Robotics and Automation. doi:10.1109/ROBOT.2010.5509126 Peer reviewed |
 | Erkan, A., Kroemer, O., Detry, R., Altun, Y., Piater, J., & Peters, J. (2010). Learning Probabilistic Discriminative Models of Grasp Affordances under Limited Supervision. In IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 1586-1591). doi:10.1109/IROS.2010.5650088 Peer reviewed |
Detry, R. (2010). Learning of Multi-Dimensional, Multi-Modal Features for Robotic Grasping [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/135238 |
 | Kroemer, O., Detry, R., Piater, J., & Peters, J. (2010). Combining Active Learning and Reactive Control for Robot Grasping. Robotics and Autonomous Systems. doi:10.1016/j.robot.2010.06.001 Peer Reviewed verified by ORBi |
Kroemer, O., Detry, R., Piater, J., & Peters, J. (2010). Grasping with Vision Descriptors and Motor Primitives. In International Conference on Informatics in Control, Automation and Robotics. Peer reviewed |
Kroemer, O., Detry, R., Piater, J., & Peters, J. (2010). Adapting Preshaped Grasping Movements using Vision Descriptors. In From Animals to Animats 11 -- International Conference on the Simulation of Adaptive Behavior. doi:10.1007/978-3-642-15193-4_15 Peer reviewed |
 | Kraft, D., Detry, R., Pugeault, N., Başeski, E., Guerin, F., Piater, J., & Krüger, N. (2010). Development of Object and Grasping Knowledge by Robot Exploration. IEEE Transactions on Autonomous Mental Development, 2 (4), 368-383. doi:10.1109/TAMD.2010.2069098 Peer reviewed |
Detry, R., Başeski, E., Popović, M., Touati, Y., Krüger, N., Kroemer, O., Peters, J., & Piater, J. (2010). Learning Continuous Grasp Affordances by Sensorimotor Exploration. In J. Peters & O. Sigaud (Eds.), From Motor Learning to Interaction Learning in Robots. Springer Berlin. |
Piater, J., Jodogne, S., Detry, R., Kraft, D., Krüger, N., Kroemer, O., & Peters, J. (2009). Learning Visual Representations for Interactive Systems. In 14th International Symposium on Robotics Research. Peer reviewed |
Detry, R., Başeski, E., Krüger, N., Popović, M., Touati, Y., Kroemer, O., Peters, J., & Piater, J. (2009). Learning Object-specific Grasp Affordance Densities. In International Conference on Development and Learning. doi:10.1109/DEVLRN.2009.5175520 Peer reviewed |
Kroemer, O., Detry, R., Piater, J., & Peters, J. (2009). Active Learning using Mean Shift Optimization for Robot Grasping. In IEEE/RSJ International Conference on Intelligent Robots and Systems. doi:10.1109/IROS.2009.5354345 Peer reviewed |
Kraft, D., Detry, R., Pugeault, N., Başeski, E., Piater, J., & Krüger, N. (2009). Learning Objects and Grasp Affordances through Autonomous Exploration. In International Conference on Computer Vision Systems. Peer reviewed |
 | Detry, R., Pugeault, N., & Piater, J. (2009). A Probabilistic Framework for 3D Visual Object Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. doi:10.1109/TPAMI.2009.64 Peer Reviewed verified by ORBi |
Detry, R., Başeski, E., Krüger, N., Popović, M., Touati, Y., & Piater, J. (2009). Autonomous Learning of Object-specific Grasp Affordance Densities [Paper presentation]. Approaches to Sensorimotor Learning on Humanoid Robots (Workshop at the IEEE International Conference on Robotics and Automation). |
Piater, J., Scalzo, F., & Detry, R. (2008). Vision as Inference in a Hierarchical Markov Network [Paper presentation]. International Conference on Cognitive and Neural Systems. |
Piater, J., & Detry, R. (2008). 3D Probabilistic Representations for Vision and Action [Paper presentation]. Robotics Challenges for Machine Learning II. |
Kraft, D., Başeski, E., Popović, M., Batog, A. M., Kjær-Nielsen, A., Krüger, N., Petrick, R., Geib, C., Pugeault, N., Steedman, M., Asfour, T., Dillmann, R., Kalkan, S., Wörgötter, F., Hommel, B., Detry, R., & Piater, J. (2008). Exploration and Planning in a Three-Level Cognitive Architecture. In International Conference on Cognitive Systems (CogSys). Peer reviewed |
Detry, R., Pugeault, N., & Piater, J. (2008). Probabilistic Pose Recovery Using Learned Hierarchical Object Models. In International Cognitive Vision Workshop (Workshop at the 6th International Conference on Vision Systems). Peer reviewed |
Detry, R., & Piater, J. (2007). Hierarchical Integration of Local 3D Features for Probabilistic Pose Recovery [Poster presentation]. Robot Manipulation: Sensing and Adapting to the Real World (Workshop at Robotics, Science and Systems). |