Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Şerban, Radu"'
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 qualitatively similar to those produced by an actual camera operating
Externí odkaz:
http://arxiv.org/abs/2410.04371
Autor:
Wang, Jingquan, Zhang, Harry, Unjhawala, Huzaifa Mustafa, Negrut, Peter, Wang, Shu, Slaton, Khailanii, Serban, Radu, Wu, Jin-Long, Negrut, Dan
We introduce SimBench, a benchmark designed to evaluate the proficiency of student large language models (S-LLMs) in generating digital twins (DTs) that can be used in simulators for virtual testing. Given a collection of S-LLMs, this benchmark enabl
Externí odkaz:
http://arxiv.org/abs/2408.11987
Autor:
Zhang, Ruochun, Tagliafierro, Bonaventura, Heuvel, Colin Vanden, Sabarwal, Shlok, Bakke, Luning, Yue, Yulong, Wei, Xin, Serban, Radu, Negrut, Dan
This paper introduces DEM-Engine, a new submodule of Project Chrono, that is designed to carry out Discrete Element Method (DEM) simulations. Based on spherical primitive shapes, DEM-Engine can simulate polydisperse granular materials and handle comp
Externí odkaz:
http://arxiv.org/abs/2311.04648
Autor:
Zhang, Ruochun, Heuvel, Colin Vanden, Schepelmann, Alexander, Rogg, Arno, Apostolopoulos, Dimitrios, Chandler, Samuel, Serban, Radu, Negrut, Dan
We discuss the use of the Discrete Element Method (DEM) to simulate the dynamics of granular systems made up of elements with nontrivial geometries. The DEM simulator is GPU accelerated and can handle elements whose shape is defined as the union with
Externí odkaz:
http://arxiv.org/abs/2307.03445
Publikováno v:
061004-18 / Vol. 18, JUNE 2023
In robotics, simulation has the potential to reduce design time and costs, and lead to a more robust engineered solution and a safer development process. However, the use of simulators is predicated on the availability of good models. This contributi
Externí odkaz:
http://arxiv.org/abs/2305.06900
Modeling cameras for the simulation of autonomous robotics is critical for generating synthetic images with appropriate realism to effectively evaluate a perception algorithm in simulation. In many cases though, simulated images are produced by tradi
Externí odkaz:
http://arxiv.org/abs/2211.08599
Autor:
Elmquist, Asher, Young, Aaron, Hansen, Thomas, Ashokkumar, Sriram, Caldararu, Stefan, Dashora, Abhiraj, Mahajan, Ishaan, Zhang, Harry, Fang, Luning, Shen, He, Xu, Xiangru, Serban, Radu, Negrut, Dan
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 and vehicle autonomy engineering. The software is operating-system indep
Externí odkaz:
http://arxiv.org/abs/2211.04886
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-to-real gap. We conduct an analysis in the context of simulating robo
Externí odkaz:
http://arxiv.org/abs/2209.06710
The focus of this contribution is on camera simulation as it comes into play in simulating autonomous robots for their virtual prototyping. We propose a camera model validation methodology based on the performance of a perception algorithm and the co
Externí odkaz:
http://arxiv.org/abs/2208.01022
Autor:
Elmquist, Asher, Young, Aaron, Mahajan, Ishaan, Fahey, Kyle, Dashora, Abhiraj, Ashokkumar, Sriram, Caldararu, Stefan, Freire, Victor, Xu, Xiangru, Serban, Radu, Negrut, Dan
We describe a software framework and a hardware platform used in tandem for the design and analysis of robot autonomy algorithms in simulation and reality. The software, which is open source, containerized, and operating system (OS) independent, has
Externí odkaz:
http://arxiv.org/abs/2206.06537