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Full-solution interaction in multi-agent LLMs can erase diversity, leading to suboptimal performance despite the presence of multiple agents.
A novel NMPC framework allows tiltable-multirotors to perform complex aerial manipulations while seamlessly handling disturbances and singular configurations.
CoFL-S achieves superior navigation performance by leveraging language-conditioned flow fields, outperforming traditional action representations in both simulation and real-world applications.
Forget discrete actions: CoFL navigates with smooth, continuous flow fields, outperforming modular and generative baselines in language-conditioned tasks and even working zero-shot in the real world.
