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M3GD is presented, a Camera--LiDAR multimodal representation for generative NVS that composes independently pretrained 2D image and 3D point-cloud foundation models without separately pretraining a cross-modal translator.
Robots operating in open environments act under partial observability, physical constraints, and dynamic task contexts. Beyond mapping observations and language instructions to actions, they must anticipate how candidate actions may affect future states and task-relevant outcomes. Recent advances in world models, video...
A unified framework that integrates differential flatness-based trajectory generation with Nonlinear Model Predictive Control (NMPC) is proposed, combining computationally efficient planning with predictive, constraint-aware control and validated through extensive simulations and real-world flight experiments.
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