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Daniel Kubus
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Journal Articles
- 2018
- [j2]Rania Rayyes, Daniel Kubus, Jochen J. Steil:
Learning Inverse Statics Models Efficiently With Symmetry-Based Exploration. Frontiers Neurorobotics 12: 68 (2018) - 2007
- [j1]Torsten Kröger, Daniel Kubus, Friedrich M. Wahl:
Force and acceleration sensor fusion for compliant manipulation control in 6 degrees of freedom. Adv. Robotics 21(14): 1603-1616 (2007)
Conference and Workshop Papers
- 2022
- [c28]Kaja Balzereit, Alexander Diedrich, Daniel Kubus, Jonas Ginster, Andreas Bunte:
Generating Causal Hypotheses for Explaining Black-Box Industrial Processes. ICPS 2022: 1-6 - 2019
- [c27]Pouya Mohammadi, Daniel Kubus, Jochen J. Steil:
Exploiting Environment Contacts of Serial Manipulators. ICRA 2019: 197-203 - 2018
- [c26]Daniel Kubus, Rania Rayyes, Jochen J. Steil:
Learning Forward and Inverse Kinematics Maps Efficiently. IROS 2018: 5133-5140 - [c25]Niels Dehio, Daniel Kubus, Jochen J. Steil:
Continuously Shaping Projections and Operational Space Tasks. IROS 2018: 5995-6002 - 2017
- [c24]Daniel Kubus, Arne Muxfeldt, Konrad Kissener, Jan Niklas Haus, Jochen J. Steil:
Robust recognition of tactile gestures for intuitive robot programming and control. IROS 2017: 1643-1650 - 2016
- [c23]Jan Niklas Haus, Arne Muxfeldt, Daniel Kubus:
Material comparison and design of low cost modular tactile surface sensors for industrial manipulators. ETFA 2016: 1-7 - [c22]Arne Muxfeldt, Jan Niklas Haus, Jingyuan Cheng, Daniel Kubus:
Exploring tactile surface sensors as a gesture input device for intuitive robot programming. ETFA 2016: 1-4 - [c21]Arne Muxfeldt, Daniel Kubus:
Hierarchical decomposition of industrial assembly tasks. ETFA 2016: 1-8 - [c20]Christian Pek, Arne Muxfeldt, Daniel Kubus:
Simplifying synchronization in cooperative robot tasks - an enhancement of the Manipulation Primitive paradigm. ETFA 2016: 1-8 - 2015
- [c19]Arne Muxfeldt, Daniel Kubus, Friedrich M. Wahl:
Developing new application fields for industrial robots - four examples for academia-industry collaboration. ETFA 2015: 1-7 - 2014
- [c18]Dirk Buchholz, Daniel Kubus, Ingo Weidauer, Alexander Scholz, Friedrich M. Wahl:
Combining visual and inertial features for efficient grasping and bin-picking. ICRA 2014: 875-882 - [c17]Ingo Weidauer, Daniel Kubus, Friedrich M. Wahl:
A hierarchical extension of manipulation primitives and its integration into a robot control architecture. ICRA 2014: 5401-5407 - [c16]Arne Muxfeldt, Jan-Henrik Kluth, Daniel Kubus:
Kinesthetic Teaching in Assembly Operations - A User Study. SIMPAR 2014: 533-544 - 2012
- [c15]Dirk Buchholz, Daniel Kubus, Simon Winkelbach, Friedrich M. Wahl:
3D object localization using single camera images. ICPR 2012: 821-824 - [c14]Daniel Kubus, Corrado Guarino Lo Bianco, Friedrich M. Wahl:
A sensor fusion approach to improve joint angle and angular rate signals in articulated robots. IROS 2012: 2736-2741 - [c13]Corrado Guarino Lo Bianco, Fabio Ghilardelli, Daniel Kubus:
Experimental validation of a time scaling algorithm for robotics systems. ROBIO 2012: 2044-2049 - 2011
- [c12]Daniel Kubus, David Inkermann, Thomas Vietor, Friedrich M. Wahl:
Joint actuation based on highly dynamic torque transmission elements - concept and control approaches. ICRA 2011: 2777-2784 - [c11]Daniel Kubus, Friedrich M. Wahl:
A sensor fusion approach to angle and angular rate estimation. IROS 2011: 2481-2488 - 2010
- [c10]Markus Rilk, Daniel Kubus, Friedrich M. Wahl, Klaus W. G. Eichhorn, Ingo Wagner, Friedrich Bootz:
Demonstration of a prototype for robot assisted Endoscopic Sinus Surgery. ICRA 2010: 1090-1091 - [c9]Alexander Sommerkorn, Daniel Kubus, Friedrich M. Wahl:
The Basis of Control-Related Robotics Research - Open High-Rate Low-Level Control Architectures for Industrial Manipulators. ISR/ROBOTIK 2010: 1-8 - 2009
- [c8]René Iser, Daniel Kubus, Friedrich M. Wahl:
An efficient parallel approach to Random Sample Matching (pRANSAM). ICRA 2009: 1199-1206 - [c7]Daniel Kubus, Ingo Weidauer, Friedrich M. Wahl:
1kHz is not enough - How to achieve higher update rates with a bilateral teleoperation system based on commercial hardware. IROS 2009: 5107-5114 - [c6]Daniel Kubus, Friedrich M. Wahl:
Scaling and eliminating non-contact forces and torques to improve bilateral teleoperation. IROS 2009: 5133-5139 - 2008
- [c5]Daniel Kubus, Torsten Kröger, Friedrich M. Wahl:
Improving force control performance by computational elimination of non-contact forces/torques. ICRA 2008: 2617-2622 - [c4]Torsten Kröger, Daniel Kubus, Friedrich M. Wahl:
12D force and acceleration sensing: A helpful experience report on sensor characteristics. ICRA 2008: 3455-3462 - [c3]Daniel Kubus, Torsten Kröger, Friedrich M. Wahl:
On-line estimation of inertial parameters using a recursive total least-squares approach. IROS 2008: 3845-3852 - 2007
- [c2]Daniel Kubus, Torsten Kröger, Friedrich M. Wahl:
On-line rigid object recognition and pose estimation based on inertial parameters. IROS 2007: 1402-1408 - 2006
- [c1]Torsten Kröger, Daniel Kubus, Friedrich M. Wahl:
6D Force and Acceleration Sensor Fusion for Compliant Manipulation Control. IROS 2006: 2626-2631
Informal and Other Publications
- 2017
- [i1]Rania Rayyes, Daniel Kubus, Carsten Hartmann, Jochen J. Steil:
Learning Inverse Statics Models Efficiently. CoRR abs/1710.06463 (2017)
Coauthor Index
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