HM3D-M3: A Benchmark for Multi-Agent, Multi-Modal, Multi-Obj
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Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: HM3D-M3: A Benchmark for Multi-Agent, Multi-Modal, Multi-Object Goal Navigation. This research introduces HM3D-M3, a benchmark for multi-agent, multi-modal, and multi-object goal navigation. The benchmark features 1,000 validation episodes across 3,926 goals from 379 categories, along with training s…
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- arXiv Robotics — research abstractsHM3D-M3: A Benchmark for Multi-Agent, Multi-Modal, Multi-Object Goal Navigation
This research introduces HM3D-M3, a benchmark for multi-agent, multi-modal, and multi-object goal navigation. The benchmark features 1,000 validation episodes across 3,926 goals from 379 categories, along with training samples and team-level metrics. Two baselines are proposed, achieving 38-41% success rates, with plans to deploy one on a heterogeneous robot team.
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