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IDTD框架:信息解耦轨迹设计用于sim-to-real系统辨识

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2026年10月9日,arXiv Robotics(一手报道)提出信息解耦轨迹设计框架(IDTD),用于 sim-to-real 系统辨识。该框架基于 Fisher 信息矩阵的 Schur complement score 构建探索策略,按参数归一化并以对数方式聚合分数,使优化轨迹由互补区间组成,各区间明确暴露不同参数子集。目前报道仅涉及该框架的方法设计,未披露实验验证或后续进展。

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Oct 9, 2026
  1. arXiv · Robotics
    信息解耦轨迹设计用于 sim-to-real 系统辨识

    提出信息解耦轨迹设计框架(IDTD),基于 Fisher 信息矩阵的 Schur complement score 构建探索策略,按参数归一化并以对数方式聚合分数,使优化轨迹由互补区间组成、各区间明确暴露不同参数子集。

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