19 citations · 29 across the 10 of their papers we have counts for
6 papers · 1 filter
Path Signatures for Diversity in Probabilistic Trajectory Optimisation
Lucas Barcelos, Tin Lai, Rafael Oliveira +2
Motion planning can be cast as a trajectory optimisation problem where a cost is minimised as a function of the trajectory being generated. In complex environments with several obs…
Adaptive Model Predictive Control by Learning Classifiers
Rel Guzman, Rafael Oliveira, Fabio Ramos
Stochastic model predictive control has been a successful and robust control framework for many robotics tasks where the system dynamics model is slightly inaccurate or in the pres…
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty
Rel Guzman, Rafael Oliveira, Fabio Ramos
We propose an adaptive optimisation approach for tuning stochastic model predictive control (MPC) hyper-parameters while jointly estimating probability distributions of the transit…
DISCO: Double Likelihood-free Inference Stochastic Control
Lucas Barcelos, Rafael Oliveira, Rafael Possas +2
Accurate simulation of complex physical systems enables the development, testing, and certification of control strategies before they are deployed into the real systems. As simulat…
Learning to Race through Coordinate Descent Bayesian Optimisation
Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott +3
In the automation of many kinds of processes, the observable outcome can often be described as the combined effect of an entire sequence of actions, or controls, applied throughout…
Bayesian Optimisation for Safe Navigation under Localisation Uncertainty
Rafael Oliveira, Lionel Ott, Vitor Guizilini +1
In outdoor environments, mobile robots are required to navigate through terrain with varying characteristics, some of which might significantly affect the integrity of the platform…