Publications

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Conference Paper
Chiovetto E, Mukovskiy A, Reinhart RF, Khansari-Zadeh SMohammad, Billard A, Steil JJ, Giese MA. Assessment of human-likeness and naturalness of interceptive arm reaching movement accomplished by a humanoid robot. In: European Conference on Visual Perception (ECVP 2014); 2014. Available from: http://www.perceptionweb.com/abstract.cgi?id=v1412968
Khansari-Zadeh SM, Billard A. BM: An Iterative Algorithm to Learn Stable Non-Linear Dynamical Systems with Gaussian Mixture Models. In: Proceeding of the International Conference on Robotics and Automation (ICRA). Proceeding of the International Conference on Robotics and Automation (ICRA). ; 2010. pp. 2381-2388. Available from: http://www.researchgate.net/publication/224156439_BM_An_iterative_algorithm_to_learn_stable_non-linear_dynamical_systems_with_Gaussian_mixture_models/file/9c960517160383ff2c.pdf
Degrave J, Burm M, Waegeman T, wyffels F, Schrauwen B. Comparing trotting and turning strategies on the quadrupedal Oncilla Robot. In: IEEE International Conference on Robotics and Biomimetics, Proceedings. IEEE International Conference on Robotics and Biomimetics, Proceedings. ; 2013. Available from: https://biblio.ugent.be/publication/4215689
Bruce J, Caluwaerts K, Iscen A, Sabelhaus AP, SunSpiral V. Design and Evolution of a Modular Tensegrity Robot Platform. In: IEEE International Conference on Robotics and Automation (ICRA). IEEE International Conference on Robotics and Automation (ICRA). ; 2014. (1.43 MB)
Grollman DH, Billard A. Donut as I do: Learning from Failed Demonstrations. In: International Conference on Robotics and Automation. International Conference on Robotics and Automation. Shanghai; 2011. Available from: https://ais.informatik.uni-freiburg.de/files/grollman11icra.pdf
Khansari-Zadeh SM, Billard A. Imitation Learning of Globally Stable Non-Linear Point-to-Point Robot Motions using Nonlinear Programming. In: Proceeding of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Proceeding of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). ; 2010. pp. 2676-2683. Available from: http://homepages.inf.ed.ac.uk/s0565544/0146.pdf
Kim S, Gribovskaya E, Billard A. Learning motion dynamics to catch a moving object. In: 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids). 10th IEEE-RAS International Conference on Humanoid Robots (Humanoids). Nashville, TN; 2010. pp. 106-111. Available from: http://www.academia.edu/download/30230251/humanoids2010_ready.pdf
Meirovitch Y, Bennequin D, Flash T. Movement decomposition and compositionality based on geometric and kinematic principles. In: Neural control of movement (NCM 2014). Neural control of movement (NCM 2014). Amsterdam, Netherlands; 2014.
Khansari-Zadeh SMohammad, Billard A. Realtime Avoidance of Fast Moving Objects: A Dynamical System-based Approach. In: Electronic proc. of the Workshop on Robot Motion Planning: Online, Reactive, and in Real-Time, Int. Conf. on Intelligent Robots and Systems (IROS). Electronic proc. of the Workshop on Robot Motion Planning: Online, Reactive, and in Real-Time, Int. Conf. on Intelligent Robots and Systems (IROS). ; 2012. Available from: http://www.reflexxes.com/iros2012ws/Paper_04.pdf
Journal Article
de la Rosa S, Giese MA, Bülthoff HH, Curio C. The contribution of different cues of facial movement to the emotional facial expression adaptation aftereffect. Journal of Vision [Internet]. 2013 ;13:1–15. Available from: http://www.journalofvision.org/content/13/1/23
Berger D, Gentner R, Edmunds T, Pai DK, d'Avella A. Differences in adaptation rates after virtual surgeries provide direct evidence for modularity. Journal of Neuroscience [Internet]. 2013 ;33:12384-94. Available from: http://www.davella.eu/amarsi-slf/Berger_et_al_J_Neurosci_2013_postprint.pdf
Khansari-Zadeh SM, Billard A. A dynamical system approach to realtime obstacle avoidance. Autonomous Robots [Internet]. 2012 ;32:433-454. Available from: http://dx.doi.org/10.1007/s10514-012-9287-y
Berger DJ, d'Avella A. Effective force control by muscle synergies. Front Comput Neurosci. 2014 . (1.2 MB)
Christensen A, Borchers S, Himmelbach M. Effects of Pictorial Cues on Reaching Depend on the Distinctiveness of Target Objects. PLoS ONE [Internet]. 2013 ;8:e54230. Available from: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0054230
Borzelli D, Berger DJ, Pai DK, d'Avella A. Effort minimization and synergistic muscle recruitment for three-dimensional force generation. Front Comput Neurosci [Internet]. 2013 ;7:186. Available from: http://www.frontiersin.org/Journal/10.3389/fncom.2013.00186/full
Borzelli D, Berger DJ, Pai DK, d'Avella A. Effort minimization and synergistic muscle recruitment for three-dimensional force generation. Front Comput Neurosci [Internet]. 2013 ;7:186. Available from: http://www.frontiersin.org/Journal/10.3389/fncom.2013.00186/full
Kim S, Billard A. Estimating the non-linear dynamics of free-flying objects. Robotics and Autonomous Systems. 2012 :–.
Kim S, Billard A. Estimating the non-linear dynamics of free-flying objects. Robotics and Autonomous Systems. 2012 ;60:1108–-1122.
Barliya A, Omlor L, Giese MA, Berthoz A, Flash T. Expression of emotion in the kinematics of locomotion. Experimental Brain Research [Internet]. 2013 ;225:159–176. Available from: http://www.compsens.uni-tuebingen.de/joomla/administrator/components/com_jresearch/files/publications/Barliya2012.pdf
Barliya A, Omlor L, Giese MA, Berthoz A, Flash T. Expression of emotion in the kinematics of locomotion. Experimental Brain Research [Internet]. 2013 ;225:159–176. Available from: http://www.compsens.uni-tuebingen.de/joomla/administrator/components/com_jresearch/files/publications/Barliya2012.pdf
Land W, Volchenkov D, Bläsing B, Schack T. From action representation to action execution: Exploring the links between cognitive and biomechanical levels of motor control. Frontiers in Computational Neuroscience [Internet]. 2013 . Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3776155/pdf/fncom-07-00127.pdf
Land W, Volchenkov D, Bläsing BE, Schack T. From Action Representation to Action Execution: Exploring the Links Between Cognitive and Biomechanical Levels of Motor Control. Frontiers in Computational Neuroscience [Internet]. 2013 ;7. Available from: http://www.frontiersin.org/computational_neuroscience/10.3389/fncom.2013.00127/abstract
Chiovetto E, Berret B, Delis I, Panzeri S, Pozzo T. Investigating reduction of dimensionality during single-joint elbow movements: a case study on muscle synergies. Front Comput Neurosci. [Internet]. 2013 ;7. Available from: http://www.frontiersin.org/Computational_Neuroscience/10.3389/fncom.2013.00011/abstract
Lemme A, Freire A, Barreto G, Steil JJ. Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub. Neurocomputing [Internet]. 2013 . Available from: http://www.researchgate.net/publication/236246884_Kinesthetic_teaching_of_visuomotor_coordination_for_pointing_by_the_humanoid_robot_iCub/file/50463517581934eb64.pdf
Khansari-Zadeh SMohammad, Billard A. Learning Control Lyapunov Function to Ensure Stability of Dynamical System-based Robot Reaching Motions. Robotics and Autonomous Systems. 2014 .
Khansari-Zadeh SM, Billard A. Learning Stable Nonlinear Dynamical Systems With Gaussian Mixture Models. Robotics, IEEE Transactions on [Internet]. 2011 ;27:943 -957. Available from: http://lasa.epfl.ch/publications/publications.php
Khansari-Zadeh SM, Kronander K, Billard A. Learning to Play Minigolf: A Dynamical System-based Approach. Advanced Robotics [Internet]. 2012 . Available from: http://infoscience.epfl.ch/record/181052/files/MiniGolf_AR12.pdf
Flash T, Meirovitch Y, Barliya A. Models of human movement: Trajectory planning and inverse kinematics studies. Robotics and Autonomous Systems [Internet]. 2013 ;61:330-339. Available from: http://www.sciencedirect.com/science/article/pii/S0921889012001741#
MacLellan M, Ivanenko YP, Massaad F, Bruijn S, Duysens J, Lacquaniti F. Muscle Activation Patterns are Bilaterally Linked during Split-Belt Treadmill Walking in Humans. J Neurophysiol. 2014 .
Alessandro C, Delis I, Nori F, Panzeri S, Berret B. Muscle synergies in neuroscience and robotics: from input-space to task-space perspectives. Frontiers in Computational Neuroscience [Internet]. 2013 . Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3630334/
Lemme A, Meirovitch Y, Khansari-Zadeh SMohammad, Flash T, Billard A, Steil JJ. Open-source benchmarking for learned reaching motion generation in robotics. Paladyn J. Behavioral Robotics [Internet]. 2015 ;6(1):30-41. Available from: http://www.degruyter.com/dg/viewarticle.fullcontentlink:pdfeventlink/$002fj$002fpjbr.2015.6.issue-1$002fpjbr-2015-0002$002fpjbr-2015-0002.pdf?format=INT\&t:ac=j$002fpjbr.2015.6.issue-1$002fpjbr-2015-0002$002fpjbr-2015-0002.xml
Pecevski D, Buesing L, Maass W. Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons. PLoS Computational Biology [Internet]. 2011 ;7:e1002294. Available from: http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.1002294
Sprowitz A, Tuleu A, Vespignani M, Ajallooeian M, Badri E, Ijspeert A. Towards Dynamic Trot Gait Locomotion—Design, Control, and Experiments with Cheetah-cub, a Compliant Quadruped Robot. International Journal of Robotics Research (IJRR). 2013 .

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