Found 219 resultsAuthor [ Title] Type Year
Filters: Author is Jochen J. Steil [Clear All Filters]
Full 6-DOF Admittance Control for the Industrial Robot Stäubli TX60. International Conference on Automation Science and Engineering (CASE).. 2019.
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 .. 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.
Imitation learning for a continuum trunk robot. Proceedings of the 25. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.. 2017.
Impact of Regularization on the Model Space for Time Series Classification. New Challenges in Neural Computation (NC2). :49–56.. 2015.
Impedance-based Physical Human-Multi-Robot Collaboration. International Journal of Robotics Research.. Submitted.
Improved Human-Robot Interaction: A manipulability based approach. ICRA 2018 Workshop on Ergonomic Physical Human-Robot Collaboration.. 2018.
Improving reservoirs using intrinsic plasticity. Neurocomputing. 71:1159–1171.. 2008.