Application of stochastic optimal control on a back somersault

The creation of innovative acrobatics is difficult for coaches due to the interaction of physical principles involved in simultaneous rotations on multiple axis. Numerical simulation can be useful to generate acrobatics without involving supplementary risks for the athletes. However, the accuracy of the simulation is important if we want athletes to try the new techniques without risks. The goal of this project is to add in realism of the optimal techniques by considering the variability in execution athletes present from one trial to the other and the reliance of athletes on sensory feedback (visual, vestibular and proprioceptive) to make adjustments in the air.

Faculty Supervisor:

Mickael Begon

Student:

Partner:

Katholieke Universiteit Leuven

Discipline:

Physics

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

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