AI & ML
Execution Logs Sway VLM Judges of Robot Progress
arXiv cs.RO0 views
arXiv:2610.34151v1 Announce Type: cross Abstract: Vision-language models now grade robot videos, and text placed beside the frames can change their verdicts. On clips where the robot is losing progress, we add one log line saying the robot is making progress. Across Gemini, Qwen and GPT judges, this flips correct verdicts to progress 10 to 35 percentage points more often than a neutral line does. A one-line warning that the log may be wrong removes most of this effect. Selected fake "task complete" claims flip half of Qwen's correct verdicts, against a tenth for unrelated log lines. They have no detectable effect on Gemini.
Source:https://arxiv.org/abs/2610.34151PreviousSegmentation of Moving Objects During Camera Motion Using the OWL FunctionNextRobust Single-Parameter Point Cloud Registration using Truncated Lp Functions
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