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I2O2I-Nav: A Benchmark with a Modular Agent for Long-Horizon Indoor-to-Outdoor-to-Indoor Navigation

Zhengjie Shu, Wanyu Li, Di Xiao, Lingxin Jiang, Lai Jiang, Kaidi Hu, Xincheng Tang, Wenkang Hu, Haoran Wang, Jinchuan Zhang, Chang Chen, Wei Li, Jia Pan, Ruigang Yang
From the abstract

Service and delivery robots often need to complete long-horizon navigation missions spanning indoor and outdoor environments. Existing embodied navigation benchmarks primarily evaluate isolated stages or partial cross-domain journeys, providing limited support for assessing how heterogeneous navigation capabilities compose under continuous execution.

From the abstract. Our summary is in progress.

The full text is not republished here because the paper's license does not allow it. Read the original on arXiv.