Hardware in the Loop

Hardware-in-the-loop (HIL) simulation integrates real-world hardware components with simulated environments to test and validate complex systems, primarily focusing on reducing the cost and risk associated with real-world testing. Current research emphasizes HIL applications in diverse fields, including autonomous vehicles, spacecraft navigation (using vision-based algorithms and 3D Gaussian splatting for geometry characterization), and embedded systems development (leveraging reinforcement learning and large language models for code generation and optimization). This approach significantly improves the reliability and efficiency of system development and testing across various engineering disciplines, enabling more robust and cost-effective solutions.