Benchmarking Action-Conditioned World Models against Real-World Executions.

Joined October 2026
We adapt and evaluate Cosmos 3 Nano in WorldOracle. We initialize it from the official 16B checkpoint and compare its predicted rollouts with paired real-world executions. #NVIDIACosmos #PhysicalAI
2
1
1
4,120
For Cosmos 3 Nano, adaptation starts with the action interface. We replace the pretrained 29D AgiBot action interface with a 20D dual-arm representation: relative translation, relative rotation, and gripper state for each arm.
1
26
Cosmos evaluation includes physical state correctness and interaction spatial alignment. WorldOracle's metric case studies show why both matter: Aligned action, incorrect physical outcome. Correct physical outcome, misaligned action. 🔗Link:worldoracle-benchmark.github…
1
63
Does the predicted future match reality? Our benchmark WorldOracle evaluates action-conditioned world models against paired real-world executions through three stress tests: 1. Causal obedience 2. Distribution transport 3. Temporal endurance #PhysicalAI
2
1
17
These comparisons are scored along four complementary dimensions of execution coherence. In a study with 128 prediction pairs and 119 participants, all four metrics achieve 88.1-93.2% overall agreement with human preferences. 🔗Link:worldoracle-benchmark.github…
3
To run these stress tests, we replay recorded actions open loop, including successful and failed attempts. We test across AgiBot G2, YAM, and human-hand embodiments and a G2 policy-rollout split, then track execution coherence over long, multi-segment rollouts.
13
WorldOracle is a benchmark for evaluating action-conditioned world models (ACWMs) against paired real-world executions. Given the same initial observation and low-level action trajectory, does the predicted future match reality? 🔗Link:worldoracle-benchmark.github…
3
1
51
Multi-View Action Coherence evaluates predicted robot motion against paired real-world execution across synchronized views. Robot-arm alignment is scored independently in each view, then the scores are averaged. Video: AgiBot G2 real execution. 🔗Link:worldoracle-benchmark.github…
9
Same initial observation. Same action trajectory. In the "pick fruit" example, the real gripper misses the fruit, but the model hallucinates a successful grasp. WorldOracle evaluates execution coherence: whether the predicted rollout matches its paired real-world execution.
1
10
The ACWM replays the recorded action trajectory open loop. WorldOracle evaluates the predicted rollout against its paired real-world execution using: Physical State Correctness Interaction Spatial Alignment Key Interaction Area Fidelity Multi-View Action Coherence
29
Hello, X! 👋 We are WorldOracle Bench, dedicated to evaluating frontier AI’s ability to understand the world, reason about reality, and predict the future. Follow us as we explore the boundaries of AI capabilities. #AI #Benchmark #WorldOracleBench
1
35