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20222026
most citedEvaluating a GAN for enhancing camera simulation for robotics

1 citations · 3 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.RO2026

Co-Design of Rover Wheels and Control using Bayesian Optimization and Rover-Terrain Simulations

Huzaifa Mustafa Unjhawala, Khizar Shaikh, Luning Bakke +2

While simulation is vital for optimizing robotic systems, the cost of modeling deformable terrain has long limited its use in full-vehicle studies of off-road autonomous mobility.…

cs.RO2025

A Physics-Based Continuum Model for Versatile, Scalable, and Fast Terramechanics Simulation

Huzaifa Unjhawala, Luning Bakke, Harry Zhang +4

This paper discusses Chrono's Continuous Representation Model (called herein Chrono::CRM), a general-purpose, scalable, and efficient simulation solution for terramechanics problem…

cs.RO2024

A physics-based sensor simulation environment for lunar ground operations

Nevindu M. Batagoda, Bo-Hsun Chen, Harry Zhang +2

This contribution reports on a software framework that uses physically-based rendering to simulate camera operation in lunar conditions. The focus is on generating synthetic images…

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.RO20221 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…