Reproduce “HM3D-M3: A Benchmark for Multi-Agent, Multi-Modal, Multi-Object Goal Navigation” on OpenResearch
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About this paper
Hongyu Ding, Kanyu Xu, Mingjia Chen, Zixuan Chen, Jieqi Shi, Jing Huo, Yifan Zhang, Yang Gao
The benchmark tests teams of 2–4 robots that receive unordered category, image, and text goals together, measuring goal discovery and coordinated path efficiency. It compares HiGA’s explicit goal assignments with LaViRA-M³’s shared goal board and progress notes. LaViRA-M³ reaches 41.0% goal-level success, but its wider camera qualifies the comparison; matched-camera testing lowers success while retaining its efficiency advantage.
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