3D Simulator
3D simulators are increasingly used to create realistic virtual environments for testing and training autonomous systems, from self-driving cars and drones to surgical robots and swarm robotics. Research focuses on improving simulation fidelity through first-principles based modeling of sensor interactions and environment dynamics, employing techniques like deep reinforcement learning to automate scenario generation, and utilizing data-oriented programming for efficient large-scale simulations. These advancements enable more rigorous testing of complex systems in a safe and controlled setting, accelerating development and improving safety across various applications.
Papers
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