Here are some articles that I find inspiring. I hope to do blog posts soon on what they are and why I find them interesting.

J. P. Fiene and K. J. Kuchenbecker, “Shaping event-based haptic transients via an improved understanding of real contact dynamics,” in Proc. World Haptics, pp. 170–175, IEEE, 2007.

V. Kumar, E. Todorov, and S. Levine, “Optimal control with learned local models: Application to dexterous manipulation,” in Int. Conf. Robotics and Automation (ICRA), pp. 378–383, IEEE, 2016.

T. G. Thuruthel, E. Falotico, F. Renda, and C. Laschi, “Learning dynamic models for open loop predictive control of soft robotic manipulators,” Bioinspiration & Biomimetics, vol. 12, no. 6, p. 066003, 2017.

E. Maestre, M. Blaauw, J. Bonada, E. Guaus, and A. Pérez, “Statistical modeling of bowing control applied to violin sound synthesis,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 18, no. 4, pp. 855–871, 2010.

A. Pfalz and E. Berdahl, “Toward inverse control of physics-based sound synthesis,” arXiv preprint arXiv:1706.09551, 2017.

Tindale and G. Tzanetakis, “The {E-Drum}: A case study for machine learning in new musical controllers,” J. Interdisciplinary Music Studies, vol. 6, pp. 115–136, 2012.

G. Percival, N. Bailey, and G. Tzanetakis, “Physical modelling and supervised training of a virtual string quartet,” in Proc. ACM Multimedia, 2013.

M. Schmidt and H. Lipson, “Distilling free-form natural laws from experimental data,” Science, vol. 324, no. 5923, pp. 81–85, 2009.

S. Coros et al. “Computational Design of Animated Mechanical Characters.” APS Meeting Abstracts. 2014. Video