NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras

1 code implementation • 25 Jul 2022 • Bandhav Veluri, Collin Pernu, Ali Saffari, Joshua Smith, Michael Taylor, Shyamnath Gollakota

Our idea is to design a dual-mode camera system where the first mode is low-power (1. 1 mW) but only outputs grey-scale, low resolution, and noisy video and the second mode consumes much higher power (100 mW) but outputs color and higher resolution images.

Colorization Key-Frame-based Video Super-Resolution (K = 15) +1

Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing

no code implementations • 17 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 implementation • 2 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.

Generative Adversarial Network valid

Online Simultaneous Semi-Parametric Dynamics Model Learning

1 code implementation • 9 Oct 2019 • Joshua Smith, Michael Mistry

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