1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.RO2022
Camera simulation for robot simulation: how important are various camera model components?
Asher Elmquist, Radu Serban, Dan Negrut
Modeling cameras for the simulation of autonomous robotics is critical for generating synthetic images with appropriate realism to effectively evaluate a perception algorithm in si…
cs.RO2022
ART/ATK: A research platform for assessing and mitigating the sim-to-real gap in robotics and autonomous vehicle engineering
Asher Elmquist, Aaron Young, Thomas Hansen +10
We discuss a platform that has both software and hardware components, and whose purpose is to support research into characterizing and mitigating the sim-to-real gap in robotics an…
cs.RO2022★ 1 cited
Evaluating a GAN for enhancing camera simulation for robotics
Asher Elmquist, Radu Serban, Dan Negrut
Given the versatility of generative adversarial networks (GANs), we seek to understand the benefits gained from using an existing GAN to enhance simulated images and reduce the sim…