Biblio
HighLAP : A High Level System for Generating, Representing, and Evaluating Assembly Sequences. IEEE International Joint Symposia on Intelligence and Systems. :134–141.
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1996. HighLAP: A High Level System for Generating, Representing, and Evaluating Assembly Sequences. International Journal on Artificial Intelligence Tools. 6:149–163.
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1997. Hierarchical Scene Understanding for Intelligent Vehicles. Proc. of IEEE Intelligent Vehicles Symposium (IV),. :1142–1147.
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2011. On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities. Springer Studies in Systems, Decision and Control. 11
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2015. Hierarchical Interest-Driven Goal Babbling for Efficient Bootstrapping of Sensorimotor skills. ICRA . :1336-1342.
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2020. 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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2014. Hierarchical decomposition of industrial assembly tasks. 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA).
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2016. Hexa Platform as Active Environment System. International Workshop on Robot Motion and Control.
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2009. .
1990. 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.
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1995. Hands-on robotic distal interlocking in intramedullary nail fixation of femoral shaft fractures. Technol Health Care. 18
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2010. Handling Uncertainty in 3D Object Recognition using Bayesian Networks. European Conference Computer Vision ECCV98. :782–795.
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1998. Guiding Attention for Grasping Tasks by Gestural Instruction: The GRAVIS-Robot Architecture. Proc. Int. Conf. Intelligent Robots and Sytems. :1570–1577.
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2001. .
1988. Graphics & Robotics. :87–114.
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1994. Graphics & Robotics. :1–30.
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1994. .
1994. Graphbasierte Bewegungsanalyse dynamischer Hindernisse zur Steuerung mobiler Roboter. Autonome Mobile Systeme 2005, 20. Fachgespräch Stuttgart. :295–301.
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2005. Gradienten-Registrierung: Der Schlüssel zur non-invasiven, iDRB freien, robotischen Manipulation in der Frakturreposition? Deutscher Kongress für Orthopädie und Unfallchirurgie.
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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.
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2010. Goal-Related Feedback Guides Motor Exploration and Redundancy Resolution in Human Motor Skill Acquisition. PLOS Computational Biology. 15(3):1-27.
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2019. Goal-directed movement generation with a transient-based recurrent neural network controller. Advanced Technologies for Enhanced Quality of Life. :112–117.
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2009. Goal Driven Recognition using a Fuzzy Controller for Decision Reasoning. IASTED International Conference Robotics and Manufacturing. :199–202.
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1997. 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.
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2016. Goal Babbling permits direct learning of inverse kinematics. IEEE Trans. Autonomous Mental Development. 2:216–229.
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2010.