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Ruhr-Universität Bochum
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Simulation-based 6G aerial models consistently overlook flight turbulence: this first-of-its-kind empirical dataset reveals how real-time Kalman filtering preserves UAV-RIS channel gains under real-world disturbance.
LSO transforms BFMs into powerful tools for precise motion tracking, overcoming the limitations of traditional heuristics in dynamic environments.
Forget kinematic tree approximations: Kamino unlocks high-fidelity, massively parallel robot simulations with closed kinematic chains directly on GPUs.