Biblio

Found 783 results
Author [ Title(Desc)] 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 
G
Rolf M, Steil JJ.  2012.  Goal Babbling: a New Concept for Early Sensorimotor Exploration. Proceedings of Workshop on Developmental Robotics.
Rolf M.  2012.  Goal babbling for an efficient bootstrapping of inverse models in high dimensions.
Rolf M, Steil JJ, Gienger M..  2010.  Goal Babbling permits direct learning of inverse kinematics. IEEE Trans. Autonomous Mental Development. 2:216–229.
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.
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.
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.
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.
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.
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.
Rennekamp T..  2005.  Graphbasierte Bewegungsanalyse dynamischer Hindernisse zur Steuerung mobiler Roboter. Autonome Mobile Systeme 2005, 20. Fachgespräch Stuttgart. :295–301.
[Anonymous].  1994.  Graphics & Robotics.
Gutsche R., Röhrdanz F., Wahl F..  1994.  Graphics & Robotics. :87–114.
Laloni C., Wahl F..  1994.  Graphics & Robotics. :1–30.
Wahl F..  1988.  Grundlegende Methoden der Computergeometrie.
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.
H
Krebs B., Burkhardt M., Korn B..  1998.  Handling Uncertainty in 3D Object Recognition using Bayesian Networks. European Conference Computer Vision ECCV98. :782–795.
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
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.
Prüfer M., Mundhenke J..  1990.  Hard- und Software einer transputerbasierten Robotersteuerung.
Osypiuk R..  2009.  Hexa Platform as Active Environment System. International Workshop on Robot Motion and Control.
Muxfeldt A., Kubus D..  2016.  Hierarchical decomposition of industrial assembly tasks. 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA).
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.
Rayyes R, Donat H, Steil JJ.  2020.  Hierarchical Interest-Driven Goal Babbling for Efficient Bootstrapping of Sensorimotor skills. ICRA . :1336-1342.
Spehr J..  2015.  On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities. Springer Studies in Systems, Decision and Control. 11
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.

Pages