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Description
Simaihub generates offline simulation data for embodied intelligence reinforcement training. The core product is a Failure+Recovery full-process dataset for robot navigation scenarios, covering full-scenario navigation, obstacle avoidance, and fault recovery. The dataset was created by Simaihub using a self-developed automatic simulation platform and was last updated on May 31, 2026.
Use Cases
Training robot navigation policies based on full-scenario navigation data.
Developing robust obstacle avoidance algorithms based on simulation data.
Improving robot fault recovery capabilities based on failure and recovery process data.
Strengths
Data is generated based on actual operation pain points and navigation needs of real robots.
The dataset covers a full-process scenario including failure and recovery.
Data is generated without fictional settings, relying on a self-developed simulation platform.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
Source
Simaihub
Collection Method
Independently generated using a self-developed automatic simulation platform.
Freshness
Last updated 2026-05-31 05:11:46; freshness should be verified.
License is unknown; terms of use must be verified before application.