Biblio

Found 752 results
Author Title [ Type(Asc)] Year
Conference Paper
Eichelberg M., Appell J., Boll S., Fachinger U., Haux R., Winkelbach S., al et.  2009.  Informations- und Kommunikationstechnik zur Gewinnung und Aufrechterhaltung von Lebensqualität, Gesundheit und Selbstbestimmung in der zweiten Lebenshälfte. Tagungsband Ambient Assisted Living, 2. Deutscher AAL-Kongress. :29–33.
Kunkel M., Moral A., Rilk M., Wahl F..  2007.  Influence of Preconditioning on the Relaxation Behavior of Porcine Septal Cartilage Using Different Sized Indenters. Journal of Biomechanics: XXI Congress, International Society of Biomechanics (ISB). 40:116.
Caluwaerts K, Steil JJ.  2015.  Independent Joint Learning in Practice: Local Error Estimates to Improve Inverse Dynamics Control. :643–650.
Röhrdanz F., Wahl F..  1996.  Incremental Free Space Acquisition and Representation for Automatic Grasping. Fourth Int. Conference on Automation, Robotics and Computer Vision (ICARCV). :904–908.
Denecke A, Wersing H, Steil JJ, Körner E.  2009.  Incremental Figure-Ground Segmentation using localized adaptive metrics in LVQ. International Workshop on Self-Organizing Maps (WSOM). :45–53.
Queißer J, Reinhart F, Steil JJ.  2016.  Incremental Bootstrapping of Parameterized Motor Skills. Proc. IEEE Humanoids.
Shareef Z, Mohammadi P, Steil JJ.  2016.  Improving the Inverse Dynamics Model of the KUKA LWR IV+ using Independent Joint Learning. Proceedings 7th IFAC Symposium on Mechatronic Systems. :507––512.
Kubus D., Kröger T., Wahl F..  2008.  Improving Force Control Performance by Computational Elimination of Non-Contact Forces/Torques. Proc. of IEEE International Conference on Robotics and Automation Pasadena. :2617–2622.
Aswolinskiy W, Reinhart F, Steil JJ.  2015.  Impact of Regularization on the Model Space for Time Series Classification. New Challenges in Neural Computation (NC2). :49–56.
Malekzadeh M, Queißer J, Steil JJ.  2017.  Imitation learning for a continuum trunk robot. Proceedings of the 25. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.
Gienger M, Muehlig M, Steil JJ.  2010.  Imitating object movement skills with robots — A task-level approach exploiting generalization and invariance. The IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems : Conference Proceedings. :1262–1269.
Alizadeh T, Malekzadeh MS.  2016.  Identifying the relevant frames of reference in programming by demonstration using task-parameterized Gaussian mixture regression. 2016 IEEE/SICE International Symposium on System Integration (SII).
Prüfer M., Schmidt C., Wahl F..  1994.  Identification of Robot Dynamics with Differential and Integral Models: A Comparison. Proceedings of IEEE International Conference on Robotics and Automation. :340–345.
Mosemann H., Raue A., Wahl F..  1999.  Identification of Assembly Process States Using Polyhedral Convex Cones. IEEE International Conference on Robotics and Automation. :2756–2761.
Reinhart F, Steil JJ.  2016.  Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot. Procedia Technology. 26:12–19.
Li W., Wahl F..  1998.  Hybrid Fuzzy P+ID Control of a Mechanical Manipulator. International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. :1909–1910.
Muehlig M, Gienger M, Steil JJ.  2010.  Human-Robot Interaction for Learning and Adaptation of Object Movements. IEEE Int. Conf. Intelligent Robots and Systems. :4901–4907.
Westphal R., Gösling T., Oszwald M., Winkelbach S., Hüfner T., Krettek C., Wahl F..  2009.  Human-Robot Interaction for 3D Telemanipulated Fracture Reduction. Video Proceedings of the 4th ACM/IEEE International Conference on Human-Robtot Interaction (HRI 2009).
Schrake H., Rieseler H., Wahl F..  1991.  How to Obtain Correct Inverse Kinematics Solutions Using Paul's Inversion Method. Proceedings 14th IASTED International Symposium Manufacturing and Robotics. :44-47.
Last P., Hesselbach J., Wahl F..  2005.  Hochdynamische Parallelroboter im Bereich Handhabung und Montage. GMA-Kongress 2005. :243–253.
Röhrdanz F., Mosemann H., Wahl F..  1996.  HighLAP : A High Level System for Generating, Representing, and Evaluating Assembly Sequences. IEEE International Joint Symposia on Intelligence and Systems. :134–141.
Mosemann H..  1999.  HighLAP: A High Level System for Generating, Representing, and Evaluating Assembly Sequence. IEEE International Conference on Robotics and Automation Videoproceedings.
Spehr J., Rosebrock D., Mossau D., Auer R., Brosig S., Wahl F..  2011.  Hierarchical Scene Understanding for Intelligent Vehicles. Proc. of IEEE Intelligent Vehicles Symposium (IV),. :1142–1147.
Rayyes R, Donat H, Steil JJ.  2020.  Hierarchical Interest-Driven Goal Babbling for Efficient Bootstrapping of Sensorimotor skills. ICRA .
Weidauer I., Kubus D., Wahl F..  2014.  A Hierarchical Extension of Manipulation Primitives and Its Integration into a Robot Control Architecture. Proc. of International Conference on Robotics and Automation. :5401–5407.

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