TomatitoToho/embodied-nav-benchmark

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