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掩码生成式运动规划论文发布
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2026年10月9日,arXiv·Robotics 发布一手报道:研究者提出 Masked Generative Motion Planning(MGMP),采用掩码生成式 Transformer 并行生成离散轨迹候选,并引入 Geometry-Guided Token Search(GGTS),按场景几何定位编辑位置与候选替代方案。该报道为目前唯一来源,尚未见后续验证或同行评议信息。
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Oct 9, 2026
- arXiv · Robotics掩码生成式运动规划与几何引导 token 搜索
研究者提出 Masked Generative Motion Planning(MGMP),用掩码生成式 Transformer 并行生成离散轨迹候选,并以 Geometry-Guided Token Search(GGTS)按场景几何定位编辑位置与候选替代方案。
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