Biblio

Found 35 results
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L
Kröger T., Wahl F..  2010.  Low-Level Control of Robot Manipulators: Sensor-Guided Control and On-Line Trajectory Generation. Workshop on Innovative Robot Control Architectures for Demanding (Research) Applications - How to Modify and Enhance Commercial Controllers at the IEEE Int. Conf. on Robotics and Automation. :46–53.
Kubus D., Sommerkorn A., Kröger T., Maaß J., Wahl F..  2010.  Low-Level Control of Robot Manipulators: Distributed Open Real-Time Control Architectures for Stäubli RX and TX Manipulators. Workshop on Innovative Robot Control Architectures for Demanding (Research) Applications - How to Modify and Enhance Commercial Controllers at the IEEE Int. Conf. on Robotics and Automation. :pp38–45.
[Anonymous].  2010.  The Lower Saxony Research Network Design of Environments for Ageing (GAL) - Towards Interdisciplinary Research on ICT in Ageing Societies. MedInfo.
Osypiuk R., Kröger T..  2008.  A Low-Cost Hexa Platform for Efficient Force Control Systems Using Industrial Manipulators. The 4th International Conference Mechatronic Systems and Materials. :3–4.
Osypiuk R., Kröger T..  2009.  A Low-Cost Hexa Platform for Efficient Force Control Systems Using Industrial Manipulators. Solid State Phenomena. 147-149:1–6.
Testarossa T..  1999.  Lorem ipsum dolor sit amet.
Spehr J., Gövercin M., Winkelbach S., Steinhagen-Thiessen E., Wahl F..  2008.  Long-Term Evaluation of a Visual Fall Detection System in a Real Home Environment. 1. Gemeinsamer Kongress der DGG / ÖGGG und der DGGG / SGG.
Last C., Winkelbach S., Wahl F., Eichhorn K., Bootz F..  2011.  A Locally Deformable Statistical Shape Model. MLMI 2011, LNCS. 7009:51–58.
Iser R., Martens A., Wahl F..  2010.  Localization of Mobile Robots Using Incremental Local Maps. Proc. of IEEE Int. Conf. on Robotics and Automation. :4873–4880.
Steil JJ.  2002.  Local structural stability of recurrent networks with time-varying weights. Neurocomputing. 48:39–51.
Steil JJ.  2000.  Local input-output stability of recurrent networks with time-varying weights. Proc. European Symposium Artificial Neural Networks. :281–286.
Shareef Z, Ahmed A.  2011.  LMI BASED Anti-Windup Controller Designing for Ball and Beam Control System. International Bhurban Conference on Applied Sciences and Technology.
Ötting S, Masjutin L, Steil JJ, Maier GW.  2020.  Let's Work Together: A Meta-Analysis on Robot Design Features that Enable Successful Human–Robot Interaction at Work. Human Factors.
Klankers K, Rudloff A, Mohammadi P, Hoffmann N, Latifi SMilad Mir, Gökay R, Nagwekar R, Weidner R, Steil JJ.  2024.  Lessons Learned from Investigating Robotics-Based, Human-like Testing of an Upper-Body Exoskeleton . Applied Sciences. 14(6)
Steil JJ, Krüger S.  2013.  Lernen und Sicherheit in Interaktion mit Robotern aus Maschinensicht. Robotik und Gesetzgebung. 2:51–71.
Reinhart F, Steil JJ.  2012.  Learning Whole Upper Body Control with Dynamic Redundancy Resolution in Coupled Associative Radial Basis Function Networks. IROS. :1487–1492.
Freire A, Lemme A, Steil JJ, Baretto G.  2012.  Learning visuo-motor coordination for pointing without depth calculation. Proc. European Symposium on Artificial Neural Networks. :91–96.
Bruno D, Calinon S, Malekzadeh MS, Caldwell DG.  2015.  Learning the stiffness of a continuous soft manipulator from multiple demonstrations. International Conference on Intelligent Robotics and Applications.
Soltoggio A, Reinhart F, Lemme A, Steil JJ.  2013.  Learning the rules of a game: neural conditioning in human-robot interaction with delayed rewards.
Malekzadeh M, Queißer J, Steil JJ.  2016.  Learning the end-effector pose from demonstration for the Bionic Handling Assistant robot.
Neumann K, Steil JJ.  2015.  Learning Robot Motions with Stable Dynamical Systems under Diffeomorphic Transformations. Robotics and Autonomous Systems. 70:1–15.
Kober J, Gienger M, Steil JJ.  2015.  Learning Movement Primitives for Force Interaction Tasks. ICRA. :3192–3199.
Weng S, Wersing H, Steil JJ, Ritter H.  2006.  Learning Lateral Interactions for Feature Binding and Sensory Segmentation from Prototypic Basis Interactions. IEEE Trans. Neural Networks. 17:843–862.
Weirich A, Haumann C, Steil JJ, Schüler S..  2011.  Learning Lab - Physical Interaction with Humanoid Robots for Pupils. Proc. Robotics in Education. :21–28.
Rayyes R, Kubus D, Steil JJ.  2018.  Learning Inverse Statics Models Efficiently with Symmetry-Based Exploration. Frontiers in Neurorobotics.

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