Piotr Rudol

Model-predictive control with stochastic collision avoidance using Bayesian policy optimization

Robots are increasingly expected to move out of the controlled environment of research labs and into populated streets and workplaces. Collision avoidance in such cluttered and dynamic environments is of increasing importance as robots gain more autonomy. However, efficient avoidance is fundamentall