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Where’s my rocket? – Stochastic simulations of rocket flight paths

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If you have a question about this talk, please contact Oliver Williams .

The goal of the research was to produce software which will make stochastic six degree of freedom simulations of flight path and recovery of small, passively controlled, high power rockets. The software can be used to model a single rocket trajectory or run using the Monte Carlo method while perturbing uncertain input variables, which include the aerodynamic coefficients of the rocket and the wind profile data. The latter method results in a splashdown pattern marking the rockets probable landing zone. This information may allow researchers to fly passively controlled rockets to higher altitudes in more populous areas more safely. The presentation gives an in depth description of the workings of the software and the theory behind it as well as presenting results of validation using real flights.

This talk is part of the Microsoft Research Machine Learning and Perception Seminars series.

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