Search Results for author: Joshua Smith

Found 3 papers, 2 papers with code

Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing

no code implementations17 Nov 2020 Ignat Georgiev, Christoforos Chatzikomis, Timo Völkl, Joshua Smith, Michael Mistry

In this paper, we develop and apply an iterative learning semi-parametric model, with a neural network, to the task of autonomous racing with a Model Predictive Controller (MPC).

Adversarial Generation of Informative Trajectories for Dynamics System Identification

1 code implementation2 Mar 2020 Marija Jegorova, Joshua Smith, Michael Mistry, Timothy Hospedales

Dynamic System Identification approaches usually heavily rely on the evolutionary and gradient-based optimisation techniques to produce optimal excitation trajectories for determining the physical parameters of robot platforms.

Online Simultaneous Semi-Parametric Dynamics Model Learning

1 code implementation9 Oct 2019 Joshua Smith, Michael Mistry

Accurate models of robots' dynamics are critical for control, stability, motion optimization, and interaction.

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