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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…
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…
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…