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HOLO-MPPI achieves robust motion planning across diverse scenarios without the need for per-scenario retuning, outperforming traditional methods in both efficiency and adaptability.
Guaranteeing constraint satisfaction in neural networks, even for complex nonlinear constraints, is now possible without sacrificing optimality, thanks to HardNet++.
