Biblio

Found 34 results
[ Author(Desc)] Title Type Year
Filters: First Letter Of Title is L  [Clear All Filters]
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A
Alizadeh T, Malekzadeh MS, Barzegari S..  2016.  Learning from demonstration with partially observable task parameters using dynamic movement primitives and Gaussian process regression. 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM).
B
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.
F
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.
H
[Anonymous].  2010.  The Lower Saxony Research Network Design of Environments for Ageing (GAL) - Towards Interdisciplinary Research on ICT in Ageing Societies. MedInfo.
I
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.
K
Kober J, Gienger M, Steil JJ.  2015.  Learning Movement Primitives for Force Interaction Tasks. ICRA. :3192–3199.
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, Rayyes R, Steil JJ.  2018.  Learning Forward and Inverse Kinematics Maps Efficiently. IROS 2018.
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.
L
Last C., Winkelbach S., Wahl F., Eichhorn K., Bootz F..  2011.  A Locally Deformable Statistical Shape Model. MLMI 2011, LNCS. 7009:51–58.
M
Malekzadeh M, Queißer J, Steil JJ.  2016.  Learning the end-effector pose from demonstration for the Bionic Handling Assistant robot.
Malekzadeh MS, Calinon S, Bruno D, Caldwell DG.  2014.  Learning by Imitation with the STIFF-FLOP Surgical Robot: A Biomimetic Approach Inspired by Octopus Movements.
Malekzadeh M, Queißer J, Steil JJ.  2015.  Learning from demonstration for Bionic Handling Assistant robot.
N
Neumann K, Rolf M, Steil JJ, Gienger M.  2010.  Learning Inverse Kinematics for Pose-Constraint Bi-Manual Movements. From Animals to Animats 11. 11th International Conference on Simulation of Adaptive Behavior, SAB 2010. Proceedings. 6226
Neumann K, Steil JJ.  2015.  Learning Robot Motions with Stable Dynamical Systems under Diffeomorphic Transformations. Robotics and Autonomous Systems. 70:1–15.
O
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.
Ö
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.
R
Rayyes R, Kubus D, Steil JJ.  2018.  Learning Inverse Statics Models Efficiently with Symmetry-Based Exploration. Frontiers in Neurorobotics.
Rayyes R, Kubus D, Hartmann C, Steil JJ.  2017.  Learning Inverse Statics Models Efficiently. arXiv.
Reinhart F, Steil JJ.  2012.  Learning Whole Upper Body Control with Dynamic Redundancy Resolution in Coupled Associative Radial Basis Function Networks. IROS. :1487–1492.
Rolf M, Steil JJ, Gienger M.  2010.  Learning Flexible Full Body Kinematics for Humanoid Tool Use. Int. Symp. Learning and Adaptive Behavior in Robotic Systems (Best Paper Award). :171–176.
S
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.
Soltoggio A, Reinhart F, Lemme A, Steil JJ.  2013.  Learning the rules of a game: neural conditioning in human-robot interaction with delayed rewards.
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.

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