metadata
title: Embodied Navigation Benchmark
emoji: 🧭
colorFrom: indigo
colorTo: purple
sdk: docker
app_port: 7860
pinned: false
Embodied Navigation Benchmark
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
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