Biblio

Found 151 results
[ Author(Asc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
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Ludolph N, Ernst TM, Mueller OM, Goericke SL, Giese MA, Timmann D, Ilg W.  2019.  Cerebellar involvement in learning to balance a cart-pole system. bioRxiv; 10.1101/586990.
Ludolph N, Giese MA, Ilg W.  2017.  Interacting Learning Processes during Skill Acquisition: Learning to control with gradually changing system dynamics. Scientific Reports. 7
Ludolph N, Plöger J, Giese MA, Ilg W.  2017.  Motor expertise facilitates the accuracy of state extrapolation in perception. PLOS ONE. 12:e0187666.
Lin H-C, Smith J, Babarahmati KKouhkiloui, Dehio N, Mistry M.  2018.  A Projected Inverse Dynamics Approach for Multi-arm Cartesian Impedance Control. IEEE/RSJ Int. Conf. on Robotics and Automation.
Li Y, Jarrasse N, Burdet E.  2017.  Versatile interaction control and haptic identification in humans and robots. Geometric and Numerical Foundations of Movements. 117:187–206.
Li B, Virtanen JP, Oeltermann A, Schwarz C, Giese MA, Ziemann U, Benali A.  2017.  Lifting the veil on the dynamics of neuronal activities evoked by transcranial magnetic stimulation. eLife. 6
Li Y., Carboni G., Gonzalez F., Campolo D., Burdet E..  2019.  Differential game theory for versatile physical human–robot interaction. Nature Machine Intelligence. 1:36–43.
Li Y, Ganesh G, Jarrasse N, Haddadin S, Albu-Schaeffer A, Burdet E.  2018.  Force, Impedance, and Trajectory Learning for Contact Tooling and Haptic Identification. IEEE Transactions on Robotics. 34:1170–1182.
Lee J, Dallali H, Jin M, Caldwell D, Tsagarakis N.  2016.  Robust and adaptive whole-body controller for humanoids with multiple tasks under uncertain disturbances. Robotics and Automation (ICRA), 2016 IEEE International Conference on. :5683––5689.
Lederer S, Dijkstra TMH, Heskes T.  2018.  Additive Dose Response Models: Explicit Formulation and the Loewe Additivity Consistency Condition. Frontiers in Pharmacology. 9
Lanini J, Duburcq A, Razavi H, Le Goff CG, Ijspeert AJan.  2017.  Interactive locomotion: Investigation and modeling of physically-paired humans while walking. PLOS ONE. 12:1–25.
Lanini J, Razavi H, Urain J, Ijspeert A.  2018.  Human Intention Detection as a Multiclass Classification Problem: Application in Physical Human–Robot Interaction While Walking. IEEE Robotics and Automation Letters. 3:4171–4178.
Lacquaniti F, Ivanenko YP, Zago M.  2016.  Are we ready to move beyond the reductionist approach of classical synergy control?: Comment on" Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands" by Marco Santello et al. Physics of Life Reviews. 17:38.
Lacquaniti F, Ivanenko YP, Labini FSylos, La Scaleia V, La Scaleia B, Willems PA, Zago M.  2017.  Human locomotion in hypogravity: from basic research to clinical applications. Frontiers in Physiology. 8:893.
La Scaleia V, Ivanenko Y., Fabiano A., Sylos-Labini F., Cappellini G., Picone S., Paolillo P., Di Paolo A., Lacquaniti F..  2018.  Early manifestation of arm–leg coordination during stepping on a surface in human neonates. Experimental Brain Research. 236:1105–1115.
J
Jin M, Lee J, Tsagarakis NG.  2017.  Model-free Robust Adaptive Control of Humanoid Robots with Flexible Joints. IEEE Transactions on Industrial Electronics.

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