Multi-Object Navigation Benchmark
收藏arXiv2025-09-30 收录
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https://finnbsch.github.io/OneMap
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资源简介：
该数据集是一个为多目标导航而构建的新基准，包含了20个场景中的236个情节，覆盖了六个不同的目标物类别。每个情节都包含了一系列三个目标物体的序列。这些情节是通过从单目标任务中抽样起始位置，并创建一系列可达物体序列而生成，且在过程中无需穿越楼梯。该数据集的规模为236个情节，所涉及的任务为多目标导航。
This dataset is a novel benchmark constructed for multi-objective navigation. It encompasses 236 episodes across 20 scenarios, covering six distinct target object categories. Each episode contains a sequence of three target objects. These episodes are generated by sampling starting positions from single-object navigation tasks and creating sequences of reachable objects, with no stair traversal required during the generation process. The dataset consists of 236 episodes, and the corresponding task is multi-objective navigation.
提供机构：
Authors' Construction
