Found 232 resultsAuthor [ Title] Type Year
Filters: Author is Jochen J. Steil [Clear All Filters]
Explorative learning of right inverse functions: theoretical implications of redundancy. Neurocomputing. 131:2-14.. 2013.
Figure-ground segmentation using metrics adaptation in levelset methods. European Symposium on Artificial Neural Networks. :417–422.. 2010.
A flat neural network architecture to represent movement primitives with integrated sequencing. :481–486.. 2015.
From social interaction to ethical AI: a developmental roadmap. ICDL-EPIROB 2018.. 2018.
Full 6-DOF Admittance Control for the Industrial Robot Stäubli TX60. 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE). :1450-1455.. 2019.
Fusion of Human Demonstrations for Automatic Recovery during Industrial Assembly. 14th IEEE International Conference on Automation Science and Engineering.. 2018.
Generalizing the Inverse Dynamic Model of KUKA LWR IV+ for Load Variations using Regression in the Model Space. Proceedings of IEEE Int. Conf. Intelligent Robots and Systems. :606–611.. 2016.
Gestalt Formation in a Competitive Layered Neural Architecture. Networks: From Biology to Theory. :163–191.. 2006.
Gestalt-Based Action Segmentation for Robot Task Learning. IEEE-RAS 7th International Conference on Humanoid Robots (HUMANOIDS). :347–352.. 2008.
Goal Babbling: a New Concept for Early Sensorimotor Exploration. Proceedings of Workshop on Developmental Robotics.. 2012.
Goal Babbling permits direct learning of inverse kinematics. IEEE Trans. Autonomous Mental Development. 2:216–229.. 2010.
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.. 2016.
Goal-directed movement generation with a transient-based recurrent neural network controller. Advanced Technologies for Enhanced Quality of Life. :112–117.. 2009.
Goal-Related Feedback Guides Motor Exploration and Redundancy Resolution in Human Motor Skill Acquisition. PLOS Computational Biology. 15(3):1-27.. 2019.
Guiding Attention for Grasping Tasks by Gestural Instruction: The GRAVIS-Robot Architecture. Proc. Int. Conf. Intelligent Robots and Sytems. :1570–1577.. 2001.
Hierarchical Interest-Driven Goal Babbling for Efficient Bootstrapping of Sensorimotor skills. ICRA . :1336-1342.. 2020.
How Rich Motor Skills Empower Robots at Last: Insights and Progress of the AMARSi Project. KI- Künstliche Intelligenz. 26:407–410.. 2012.
Humanoid Kinematics and Dynamics: Open Questions and Future Directions. Humanoid Robotics: A Reference. :893-902.. 2018.
Human-Robot Interaction for Learning and Adaptation of Object Movements. IEEE Int. Conf. Intelligent Robots and Systems. :4901–4907.. 2010.
Humans and Humanoids - Perspectives on Research in Cognition and Robotics. KI - Künstliche Intelligenz. 4:33–36.. 2008.
Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot. Procedia Technology. 26:12–19.. 2016.
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.. 2010.