Biblio

Found 774 results
Author [ Title(Asc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
H
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.
Röhrdanz F., Mosemann H., Wahl F..  1997.  HighLAP: A High Level System for Generating, Representing, and Evaluating Assembly Sequences. International Journal on Artificial Intelligence Tools. 6:149–163.
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.
Spehr J..  2015.  On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities. Springer Studies in Systems, Decision and Control. 11
Rayyes R, Donat H, Steil JJ.  2020.  Hierarchical Interest-Driven Goal Babbling for Efficient Bootstrapping of Sensorimotor skills. ICRA . :1336-1342.
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.
Muxfeldt A., Kubus D..  2016.  Hierarchical decomposition of industrial assembly tasks. 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA).
Osypiuk R..  2009.  Hexa Platform as Active Environment System. International Workshop on Robot Motion and Control.
Prüfer M., Mundhenke J..  1990.  Hard- und Software einer transputerbasierten Robotersteuerung.
Laloni C., Gutsche R., Wahl F..  1995.  Hard Real-Time Scheduling of Distance-Constrained Sensor Tasks within a Monitoring System for Mobile Robot Guidance. Proceedings of the IEEE International Conference on Systems. :591–596.
Oszwald M., Westphal R., Stier R., Calafi A., Gaulke R., Müller C., Wahl F., Krettek C., Gösling T..  2010.  Hands-on robotic distal interlocking in intramedullary nail fixation of femoral shaft fractures. Technol Health Care. 18
Krebs B., Burkhardt M., Korn B..  1998.  Handling Uncertainty in 3D Object Recognition using Bayesian Networks. European Conference Computer Vision ECCV98. :782–795.
G
Steil JJ, Heidemann G, Jockusch J, Rae R, Jungclaus N, Ritter H.  2001.  Guiding Attention for Grasping Tasks by Gestural Instruction: The GRAVIS-Robot Architecture. Proc. Int. Conf. Intelligent Robots and Sytems. :1570–1577.
Wahl F..  1988.  Grundlegende Methoden der Computergeometrie.
Gutsche R., Röhrdanz F., Wahl F..  1994.  Graphics & Robotics. :87–114.
Laloni C., Wahl F..  1994.  Graphics & Robotics. :1–30.
[Anonymous].  1994.  Graphics & Robotics.
Rennekamp T..  2005.  Graphbasierte Bewegungsanalyse dynamischer Hindernisse zur Steuerung mobiler Roboter. Autonome Mobile Systeme 2005, 20. Fachgespräch Stuttgart. :295–301.
Oszwald M., Westphal R., Wahl F., Gösling T., Krettek C..  2010.  Gradienten-Registrierung: Der Schlüssel zur non-invasiven, iDRB freien, robotischen Manipulation in der Frakturreposition? Deutscher Kongress für Orthopädie und Unfallchirurgie.
Oszwald M., Westphal R., Wahl F., Gösling T., Krettek C..  2010.  Gradient registration - a novel method for non-invasive robotic fracture reduction - initiation. 10th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery.
Rhode M, Narioka K, Stein L, Steil JJ, Ernst M.  2019.  Goal-Related Feedback Guides Motor Exploration and Redundancy Resolution in Human Motor Skill Acquisition. PLOS Computational Biology. 15(3):1-27.
Reinhart F, Steil JJ.  2009.  Goal-directed movement generation with a transient-based recurrent neural network controller. Advanced Technologies for Enhanced Quality of Life. :112–117.
Krebs B., Korn B., Wahl F..  1997.  Goal Driven Recognition using a Fuzzy Controller for Decision Reasoning. IASTED International Conference Robotics and Manufacturing. :199–202.
Rayyes R, Steil JJ.  2016.  Goal Babbling with direction sampling for simultaneous exploration and learning of inverse kinematics of a humanoid robot. Proceedings of the workshop on New Challenges in Neural Computation. 4:56–63.
Rolf M, Steil JJ, Gienger M..  2010.  Goal Babbling permits direct learning of inverse kinematics. IEEE Trans. Autonomous Mental Development. 2:216–229.

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