Zhiyuan Robotics proposes the EnerVerse architecture, which generates a 4D space and guides the robot to complete the task through an autoregressive diffusion model; introduces a sparse memory mechanism and a free anchored perspective to solve the long-range generation and multi-view problem; the model achieves SOTA in the LIBERO benchmarking test, and has an excellent performance in the long-range task planning and action generation.
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