| --- |
| title: Embodied Navigation Benchmark |
| emoji: 🧭 |
| colorFrom: indigo |
| colorTo: purple |
| sdk: docker |
| app_port: 7860 |
| pinned: false |
| --- |
| |
| # Embodied Navigation Benchmark |
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|
| Research environment for evaluating embodied AI agents in spatial navigation tasks. |
| Uses a 3D voxel-based environment to benchmark autonomous agent decision-making, |
| path planning, and resource management capabilities. |
|
|
| ## Methodology |
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|
| Agents navigate a procedurally generated 3D world, making real-time decisions |
| based on environmental observations. The benchmark evaluates: |
| - Spatial reasoning and exploration efficiency |
| - Resource gathering and tool usage planning |
| - Adaptive behavior under environmental hazards |
| - Long-horizon task completion |
|
|
| ## Technical Stack |
|
|
| - Python-based monitoring and evaluation framework |
| - Real-time agent observation interface |
| - Automated performance metrics collection |
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|
