CGD

Traditional optimization-based planners, while effective, suffer from high computational costs, resulting in slow trajectory generation. CGD leverages a hybrid learning/online optimization scheme that combines diffusion policies with a surrogate efficient optimization problem, enabling the generation of collision-free, dynamically feasible trajectories.

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