Biblio
On the Use of Ternary Products to Characterize the Dexterity of Spatial Kinematic Chains. Advances in Robot Kinematics.
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2022. On Circle Intersections by Means of Distance Geometry. IFTOMM World Congress.
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2019. SU-Based Analytic IK for SRS Arms Yielding Eightfold Circles. DGR Days (Deutsche Gesellschaft für Robotik).
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2017. Approaching Linear Elastic Deformations of Flexible Bodies via Screw Theory. Eccomas Multibody Dynamics 2023.
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2023. The Adjoint Trigonometric Representation of Displacements and a Closed-Form Solution to the IKP of General 3C Chains. Journal of Applied Mathematics and Mechanics. 100(6)
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2020. On Ellipse Intersections by Means of Distance Geometry. IFToMM World Congress.
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2023. .
2018. On Orientation, Position, and Attitude Singularities of General 3R Chains. Mathematics of Robotics (IMA, SIAM).
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2022. Closed-Form Solutions and Solvability of Line-Geometric Paden–Kahan Problems. Conference on Geometry: Theory and Applications.
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2021. Eine vergleichende Betrachtung algebraischer Darstellungen euklidischer Transformationen im Raum. IFTOMM-DACH.
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2020. Connections between Matrix Products for 3-Vectors and Geometric Algebra. Mathematics for Applications. 11:1-25.
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2023. Eine analytische Lösung der inversen Kinematik allgemeiner räumlicher Ketten mit rotativen und zylindrischen Gelenken. IFTOMM-DACH.
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2019. A Representation of the Geometric Product for 3-Vectors by Means of Matrix Algebra. Applied Geometric Algebras in Computer Science and Engineering.
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2021. Exponential Displacement Coordinates by Means of the Adjoint Representation. Advances in Robot Kinematics 2020. :250-258.
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2020. Closed-Form Solutions and Solvability of Line-Geometric Paden–Kahan Problems. "preprint available".
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Submitted. Experimental validation of a time scaling algorithm for robotics systems. Proc. of 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO 2012). :2044–2049.
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2012. OOP: Object-Oriented-Priority for Motion Saliency Maps. Workshop on Brain Inspired Cognitive Systems. :370–381.
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2015. Modelling of Parametrized Processes via Regression in the Model Space of Neural Networks. Neurocomputing. 268(C):55-63.
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2017. Modelling of Parameterized Processes via Regression in the Model Space. Proceedings of 24th European Symposium on Artificial Neural Networks. :53–58.
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2016. Time Series Classification in Reservoir- and Model-Space. Neural Processing Letters. 48(3):789–809.
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2017. Time Series Classification in Reservoir- and Model-Space: A Comparison. Proc. 7th IAPR Workshop on Artificial Neural Networks in Pattern Recognition.
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2016. Impact of Regularization on the Model Space for Time Series Classification. New Challenges in Neural Computation (NC2). :49–56.
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2015.