SenseNova: robot benchmarks ignore inference latency
SenseNova evaluated GPT-6-Astra on 12 robotics benchmarks (arXiv:2610.22471) and deployed it on eight physical robot setups with low-level controllers such as π0.5. The report's key finding: simulated benchmarks pause time while the planner thinks, whereas a three-second delay in the real world means actions execute against stale coordinates. The authors propose evaluating agents against an unpaused world clock with zero in-domain demonstrations.
- The model was tested on 12 benchmarks and 8 physical robots
- Simulated benchmarks pause time while the planner thinks
- A 3-second delay leads to actions based on stale scene state
- Proposed benchmarks use a continuous clock and no demonstrations
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