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Dr. Mukovskiy, Albert

Senior Scientist

Contact

Room: 4.534
Section for Computational Sensomotorics
Department of Cognitive Neurology
Hertie Institute for Clinical Brain Research
Centre for Integrative Neuroscience
University Clinic Tübingen
Otfried-Müller-Str. 25
72076 Tübingen, Germany

+497071 2989224

Albert Mukovskiy

Projects

Reviewed Publications

Bognár, A., Mukovskiy, A., Nejad, G. G., Taubert, N., Stettler, M., Martini, L. M. et al (2023). Simultaneous recordings from posterior and anterior body responsive regions in the macaque Superior Temporal Sulcus . VSS 2023, May 19-24 2023, St. Pete Beach, Florida. [More] 
Bognár, A., Mukovskiy, A., Nejad, G. G., Taubert, N., Stettler, M., Martini, L. M. et al (2023). Feature selectivity of body-patch neurons assessed with a large set of monkey avatars . 13th Annual Meeting on PrimateNeurobiology, Apr.26-28 2023, Göttingen Primate Center.. [More] 
Mukovskiy, A., Hovaidi-Ardestani, M., Salatiello, A., Stettler, M., Vogels, R. & Giese, M. A (2022). Neurophysiologically-inspired computational model of the visual recognition of social behavior and intent . FENS Forum, Paris. [More] 
Mukovskiy, A., Hovaidi-Ardestani, M., Salatiello, A., Stettler, M., Vogels, R. & Giese, M. A (2022). Physiologically-inspired neural model for social interaction recognition from abstract and naturalistic videos . VSS Annual Meeting 2022. [More] 
Giese, M. A., Mukovskiy, A., Hovaidi-Ardestani, M., Salatiello, A. & Stettler, M. (2021). Neurophysiologically-inspired model for social interactions recognition from abstract and naturalistic stimuli. Journal of Vision September 2021, Vol.21, 2434.. [More] 
Mukovskiy, A., Ardestani, M. H., Salatiello, A., Stettler, M. & Giese, M. A. (2021). Physiologically-inspired neural model for social interactions recognition from abstract and naturalistic stimuli.. Journal of Vision December 2022, Vol.22, 3610. [More] 
Giese, M. A., Mukovskiy, A., Hovaidi-Ardestani, M., Salatiello, A. & Stettler, M (2021). Neurophysiologically-inspired model for social interactions recognition from abstract and naturalistic stimuli. VSS 2021, May 21-26 . [More] 
Mukovskiy, A., Ardestani, M. H., Salatiello, A., Stettler, M. & Giese, M. A (2021). Physiologically-inspired neural model for social interactions recognition from abstract and naturalistic stimuli. Göttingen Meeting of the German Neuroscience Society 2021, Germany . [More] 
Ardestani, M. H., Mukovskiy, A., Stettler, M., Saini, N. & Giese, M. A (2020). Physiologically-inspired neural model for the visual recognition of social interactions from abstract and natural stimuli. VSS 2020, 19-24 Jun . [More] 
Kodl, J., Mukovskiy, A., Mohammadi, P., Malekzadeh, M., Taubert, N., Christensen, A. et al (2019). Online planning and control of ball throwing by the humanoid robot COMAN and validation exploiting VR in rehabilitation scenarios with ataxia patients. Oral presentation and extended abstract in Proc. of CYBATHLON Symposium on Assistive and Wearable Robotics (AsWeR 2019). 16–17 May, 2019, Karlsruhe . [More] 
Mukovskiy, A. (2018). Computational Methods for Cognitive and Cooperative Robotics. Phd Thesis. [More] 
Mohammadi, P., Malekzadeh, M. S., Kodl, J., Mukovskiy, A., Wigand, D., Giese, M. A. et al. (2018). Real-Time Control of Whole-Body Robot Motion and Trajectory Generation for Physiotherapeutic Juggling in VR. IROS2018, 270-277. [More] 
Kodl, J., Mukovskiy, A., Dijkstra, T., Brötz, D., Ludolph, N., Taubert, N. et al. (2017). Ball Throwing Games in Virtual Reality for Motor Rehabilitation. Iberdiscap, Bogota, Colombia, ISSN 2619-6433, 489-496. [More] 
Kodl, J., Mukovskiy, A., Dijkstra, T., Brötz, D., Ludolph, N., Taubert, N. et al (2017). Ball Throwing Games in Virtual Reality for Motor Rehabilitation. IX Iberoamerican Congress in Assistive Technology, Iberdiscap, Bogota, Colombia, ISSN 2619-6433 . [More] 
Mukovskiy, A., Taubert, N., Endres, D., Vassallo, C., Naveau, M., Stasse, O. et al. (2017). Modeling of coordinated human body motion by learning of structured dynamic representations. In: J.P. Laumond et al. (Eds.): "Geometric and Numerical Foundations of Movements," Springer STAR Series, Springer-Verlag Berlin Heidelberg., 117, 237-267. [More] 
Mukovskiy, A., Vassallo, C., Naveau, M., Stasse, O., Souères, P. & Giese, M. A. (2017). Adaptive synthesis of dynamically feasible full-body movements for the humanoid robot HRP-2 by flexible combination of learned dynamic movement primitives. Robotics and Autonomous Systems, 91, 270. [More] 
Sternad, D., Mukovskiy, A., Ebert, J. & Dijkstra, T (2016). Dynamic Stability in Human Control of Complex Object. Ann. Meeting of NCM Soc., April, 2016, Montego Bay . [More] 
Karklinsky, M., Naveau, M., Mukovskiy, A., Stasse, O., Flash, T. & Souères, P. (2016). Robust human-inspired power law trajectories for humanoid HRP-2 robot. Biomedical Robotics and Biomechatronics, 6th IEEE Conference Paper, 106-113. [More] 
Mukovskiy, A., Vassallo, C., Naveau, M., Stasse, O., Souères, P. & Giese, M. A (2015). Learning Movement Primitives for the Humanoid Robot HRP2. IROS 2015: Joint workshop by the EU FP7 projects KoroiBot and H2R, Hamburg, Germany . [More] 
Ebert, J., Mukovskiy, A., Dijkstra, T. & Sternad, D (2015). Why You Don't Spill Your Coffee. RISE 2015: Research, Innovation and Scholarship Expo, Northeastern University, Boston, MA . [More] 
Mukovskiy, A., Land, W. M., Schack, T. & Giese, M. A. (2015). Modeling of predictive human movement coordination patterns for applications in computer graphics. Journal of WSCG, 23(2), 139-146. [More] 
Dayan, E., Stella, I., Mukovskiy, A., Douek, Y., Giese, M. A., Malach, R. et al. (2014). The Default Mode Network Differentiates Biological From Non-Biological Motion. Cereb. Cortex,, 26(1), 234-245. [More] 
Mukovskiy, A. & Giese, M. A (2014). Kinematic planning and dynamic control for bipeds. The XX Congress of the Int. Soc. of Electrophysiology and Kinesiology, ISEK 2014, Rome, Italy . [More] 
Ajallooeian, M., van den Kieboom, J., Mukovskiy, A., Giese, M. A. & Ijspeert, A. J. (2013). A general family of morphed nonlinear phase oscillators with arbitrary limit cycle shape. Physica D: Nonlinear Phenomena, 263, 41-56. [More] 
Mukovskiy, A., Slotine, J.-J. & Giese, M. A. (2013). Dynamically stable control of articulated crowds. Journal of Computational Science, 4(4), 304-310. [More] 
Mukovskiy, A., Slotine, J. J. & Giese, M. A. (2011). Analysis and design of the dynamical stability of collective behavior in crowds. Skala V. (ed): Proceedings of the 19th International Conference on Computer Graphics, Visualization and Computer Vision 2011(WSCG2011), Jan.31-Febr.3, 2011, Plzen, Czech Republic. Journal of WSCG, 19(1-3), 69-76. [More] 
Mukovskiy, A., Slotine, J.-J. & Giese, M. A. (2010). Design of the Dynamic Stability Properties of the Collective Behavior of Articulated Bipeds. Proceedings of 10th IEEE-RAS Int. Conference on Humanoid Robots,( Humanoids 2010) December 6-8, 2010, Nashville, TN, USA. pp. 66-73. In press in special issue of IEEE Journal on Robotics and Automation. [More] 
Mukovskiy, A., Slotine, J.-J. & Giese, M. A. (2010). Analysis of the global dynamical stability of crowd navigation applying Contraction Theory. In: Electronic Proceedings of Workshop on Crowd Simulation, 23rd Int. Conference on Computer Animation and Social Agents (CASA 2010), May 31-June 2, 2010, Saint-Malo, France. [More] 
Baranauskas, G., Mukovskiy, A., Wolf, J. & Volgushev, M. (2010). The determinants of the onset dynamics of action potentials in a computational model. Neuroscience, 167(4), 1070-1090. [More] 
Mukovskiy, A., Slotine, J.-J. & Giese, M. A. (2010). Contraction theory as method for the analysis and the design of stability of collective behavior in crowds. In: Electronic Proc. IADIS Int. Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP 2010) 27-29 July,2010 Freiburg, Germany, 47-56. [More] 
Park, A.-N., Mukovskiy, A., Slotine, J.-J. & Giese, M. A. (2009). Design of dynamical stability properties in character animation. In: The 6th Workshop on Virtual Reality Interaction and Physical Simulation. ,VRIPHYS 09, Nov 5-6, Karlsruhe,Germany, 85-94. [More] 
Giese, M. A., Mukovskiy, A., Park, A.-N., Omlor, L. & Slotine, J.-J. (2009). Real-Time Synthesis of Body Movements Based on Learned Primitives. In Cremers D, Rosenhahn B, Yuille A L (eds): Statistical and Geometrical Approaches to Visual Motion Analysis, Lecture Notes in Computer Science, 5604, 107-127. [More] 
Park, A.-N., Mukovskiy, A., Omlor, L. & Giese, M. A. (2008). Synthesis of character behaviour by dynamic interaction of synergies learned from motion capture data. Skala V (ed): Proceedings of the 16th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG),4-7 Feb, Plzen, Czech Republic, 9-16. [More] 
Mukovskiy, A., Park, A.-N., Omlor, L., Slotine, J.-J. & Giese, M. A. (2008). Self-organization of character behavior by mixing of learned movement primitives. Proceedings of the 13th Fall Workshop on Vision, Modeling, and Visualization (VMV) , October 8-10, Konstanz, Germany, 121-130. [More] 
Park, A.-N., Mukovskiy, A., Omlor, L. & Giese, M. A. (2008). Self organized character animation based on learned synergies from full-body motion capture data. Proceedings of the 2008 International Conference on Cognitive Systems (CogSys), University of Karlsruhe, Karlsruhe, Germany, 2-4 April, Springer-Verlag, Berlin. [More] 
Mukovskiy, A. & Giese, M. A. (2007). Style synthesis of human body motion based on learned spatio-temporal synergies. Bülthoff H H, Chatziastros A, Mallot H A, Ulrich R (eds): Proceedings of the 10th. Tübinger Perception Conference (TWK 2007), Knirsch, Kirchentellinsfurt, 152. [More] 

Unreviewed Publications

Chiovetto, E., Mukovskiy, A., Reinhart, F., Kansari-Zadeh, M. S., Billiard, A., Steil, J. et al (2014). Assessment of human-likeness and naturalness of interceptive arm reaching movement accomplished by a humanoid robot Perception 43 ECVP Abstract Supplement, page 107. [More]