1 citations · 3 across the 11 of their papers we have counts for
14 papers
Learning the Right Abstraction: Neural Reduced Dynamics for Complex Robot Control
Harry Zhang, Dan Negrut
High-fidelity embodied AI simulators provide realistic evaluation of complex robotic systems, but their computational cost limits their direct use for large-scale reinforcement lea…
Chrono-Gymnasium: An Open-Source, Gymnasium-Compatible Distributed Simulation Framework
Bocheng Zou, Harry Zhang, Khailanii Slaton +5
High-fidelity physics simulation is essential for closing the sim-to-real gap in robotics and complex mechanical systems. However, the computational overhead of high-fidelity engin…
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…
ChronoLLM: Customizing Language Models for Physics-Based Simulation Code Generation
Jingquan Wang, Andrew Negrut, Harry Zhang +5
This contribution is concerned with the following issue: can pretrained large language models (LLMs) be refined and customized to the point where they become virtual assistants hel…
ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono
Jingquan Wang, Harry Zhang, Khailanii Slaton +4
Recently, the integration of advanced simulation technologies with artificial intelligence (AI) is revolutionizing science and engineering research. ChronoLlama introduces a novel…
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…
Enhancing Autonomous Navigation by Imaging Hidden Objects using Single-Photon LiDAR
Aaron Young, Nevindu M. Batagoda, Harry Zhang +4
Robust autonomous navigation in environments with limited visibility remains a critical challenge in robotics. We present a novel approach that leverages Non-Line-of-Sight (NLOS) s…
SimBench: A Framework for Evaluating and Diagnosing LLM-Based Digital-Twin Generation for Multi-Physics Simulation
Jingquan Wang, Andrew Negrut, Hongyu Wang +2
We introduce SimBench, a benchmark designed to evaluate the proficiency of simulator-oriented LLMs (S-LLMs) in generating digital twins (DTs) that can be used in simulators for vir…
A Study on the Use of Simulation in Synthesizing Path-Following Control Policies for Autonomous Ground Robots
Harry Zhang, Stefan Caldararu, Aaron Young +8
We report results obtained and insights gained while answering the following question: how effective is it to use a simulator to establish path following control policies for an au…
Quantifying the Sim2real Gap for GPS and IMU Sensors
Ishaan Mahajan, Huzaifa Unjhawala, Harry Zhang +7
Simulation can and should play a critical role in the development and testing of algorithms for autonomous agents. What might reduce its impact is the ``sim2real'' gap -- the algor…
Zero-Shot Policy Transferability for the Control of a Scale Autonomous Vehicle
Harry Zhang, Stefan Caldararu, Sriram Ashokkumar +6
We report on a study that employs an in-house developed simulation infrastructure to accomplish zero shot policy transferability for a control policy associated with a scale autono…
POLAR-Sim: Augmenting NASA's POLAR Dataset for Data-Driven Lunar Perception and Rover Simulation
Bo-Hsun Chen, Peter Negrut, Thomas Liang +3
NASA's POLAR dataset contains approximately 2,600 pairs of high dynamic range stereo photos captured across 13 varied terrain scenarios, including areas with sparse or dense rock d…
Using simulation to design an MPC policy for field navigation using GPS sensing
Harry Zhang, Stefan Caldararu, Ishaan Mahajan +8
Modeling a robust control system with a precise GPS-based state estimation capability in simulation can be useful in field navigation applications as it allows for testing and vali…
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…