Found 251 results
Author Title Type [ Year(Desc)]
Muxfeldt A, Kubus D, Haus J, Kissener K, Steil JJ.  2017.  Exploiting Tactile Gestures for Intuitive Robot Programming and Control. ICRA 2017 Workshop "The robotic sense of touch" .
Reinhart F, Shareef Z, Steil JJ.  2017.  Hybrid Analytical and Data-driven Modeling for Feed-forward Robot Control. Sensors. 17(2)
Malekzadeh M, Queißer J, Steil JJ.  2017.  Imitation learning for a continuum trunk robot. Proceedings of the 25. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.
Rayyes R, Kubus D, Hartmann C, Steil JJ.  2017.  Learning Inverse Statics Models Efficiently. arXiv.
Aswolinskiy W, Reinhart F, Steil JJ.  2017.  Modelling of Parametrized Processes via Regression in the Model Space of Neural Networks. Neurocomputing. 268(C):55-63.
Steil JJ, Maier GW.  2017.  Robots in the digitalized workplace. The Wiley Blackwell Handbook of the Psychology of the Internet at Work. :403-422.
Kubus D, Muxfeldt A, Kissener K, Haus JNiklas, Steil JJ.  2017.  Robust Recognition of Tactile Gestures for Intuitive Robot Programming. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017).
Aswolinskiy W, Reinhart F, Steil JJ.  2017.  Time Series Classification in Reservoir- and Model-Space. Neural Processing Letters.
Vasquez-Tieck J.C, Donat H., Kaiser J., Peric I., Ulbrich S., Roennau A., Marius Z., Dillmann R..  2017.  Towards Grasping with Spiking Neural Networks for Anthropomorphic Robot Hands. ICANN 2017 - The 26th International Conference on Artificial Neural Networks.
Muxfeldt A, Gopinathan S, Coenders T, Steil JJ.  2017.  A User Study on Human-Robot-Interactive Recovery for Industrial Assembly Problems. 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), p. 824-830.
Gopinathan S, Ötting S, Steil JJ.  2017.  A User Study on Personalized Adaptive Stiffness Control Modes for Human-Robot Interaction. 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), p 831-837.
Gopinathan S, Ötting S, Steil JJ.  2017.  A user study on personalized stiffness control and task specificity in physical Human-Robot Interaction. Frontiers in Robotics and AI -- Humanoid Robotics.
Ötting S, Gopinathan S, Maier GW, Steil JJ.  2017.  Why Criteria of Decision Fairness Should be Considered in Robot Design. Workshop Robots in Groups and Teams at ACM Conference on Computer Supported Cooperative Work and Social Computing.
Bongardt B.  2018.  The Adjoint Trigonometric Representation of Displacements and a Closed-Form Solution to the IKP of General 3C Chains.
Queißer J, Steil JJ.  2018.  Bootstrapping of Parameterized Skills Through Hybrid Optimization in Task and Policy Spaces. Frontiers in Robotics and AI, section Humanoid Robotics. 5
Dehio N, Kubus D, Steil JJ.  2018.  Continuously Shaping Projections and Operational Space Tasks. IROS 2018.
Rolf M, Crook N, Steil JJ.  2018.  From social interaction to ethical AI: a developmental roadmap. ICDL-EPIROB 2018.
Muxfeldt A., Steil J..  2018.  Fusion of Human Demonstrations for Automatic Recovery during Industrial Assembly. 14th IEEE International Conference on Automation Science and Engineering.
Gienger M, Steil JJ.  2018.  Humanoid Kinematics and Dynamics: Open Questions and Future Directions. Humanoid Robotics: A Reference. :893-902.
Gopinathan S, Mohammadi P, Steil JJ.  2018.  Improved Human-Robot Interaction: A manipulability based approach. ICRA 2018 Workshop on Ergonomic Physical Human-Robot Collaboration.
Steil JJ, Maier GW.  2018.  Kollaborative Roboter – universale Werkzeuge in der digitalisierten und vernetzten Arbeitswelt. Handbuch Gestaltung digitaler und vernetzter Arbeitswelten.
Kubus D, Rayyes R, Steil JJ.  2018.  Learning Forward and Inverse Kinematics Maps Efficiently. IROS 2018.
Rayyes R, Kubus D, Steil JJ.  2018.  Learning Inverse Statics Models Efficiently with Symmetry-Based Exploration. Frontiers in Neurorobotics.
Reinhart F, Neumann K, Aswolinskiy W, Steil JJ, Hammer B.  2018.  Maschinelles Lernen in technischen Systemen. Steigerung der Intelligenz mechatronischer Systeme. :pp.73-118.
Dehio N, Smith J, Wigand D, Xin G, Lin H-C, Steil JJ, Mistry M.  2018.  Modeling & Control of Multi-Arm and Multi-Leg Robots: Compensating for Object Dynamics during Grasping. Int. Conf. Robotics and Automation.