A Unified Platform for General-Purpose Navigation
Compositional Complexity
Composite instructions interleave sub-tasks from PointNav, VLN, ObjectNav, HumanFollow, SocialNav, and EQA, compelling agents to seamlessly transition between exploration, interaction, and social compliance within a single unified episode.
Morphological Universality
A high-fidelity Isaac Sim platform evaluates wheeled (NVIDIA Carter), quadrupedal (Unitree Aliengo), and humanoid (Unitree H1) robots under a modular sensor interface with continuous physical dynamics.
Human Expert Demonstrations
Reference trajectories are collected via human teleoperation rather than shortest-path planners, preserving exploratory glances, hesitations, and anticipatory avoidance that characterize natural human navigation.
Offline Result Submission
Accepted Input
Upload a single .zip archive. The archive may use any internal directory layout, but the scoring inputs are per-episode JSON files such as final_episode_*.json.
Reported Metrics
Leaderboard columns include navigation and interaction metrics — SR, CSR, SGC, OSR, SPL, HFS, HFR, SII, EQA — recomputed offline against the private ground truth.
Publishing Workflow
Uploads are queued for asynchronous evaluation. Once a submission succeeds, you can publish it from My Submissions to make it appear on the public leaderboard.
Leaderboard
Pick a robot category and click any metric header to sort.
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What the leaderboard measures
Submit and manage results
Create an account to upload episode result archives, monitor evaluation jobs, and publish successful submissions to the public leaderboard.
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Upload a results archive
Submissions must be .zip archives containing per-episode JSON files. Precomputed summary metrics are ignored — all leaderboard metrics are recomputed server-side from raw trajectories against the private ground truth.
Submit Results
Click or drop a result .zip here
My Submissions
Successful submissions can be published to the public leaderboard.