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An Auditable Framework for Autonomous Driving Laboratories: LAM, OpenSDL, Safe-SDL, and L3-Bench

The authors propose a traceable framework comprising four components—LAM, OpenSDL, Safe-SDL, and L3-Bench—to connect experiment planning, automated execution, and measurement feedback. LAM is a measurement-conditioned policy architecture that extends the vision-language-action paradigm to generate both continuous robot trajectories and typed instrument API calls; OpenSDL maps role-level operations to heterogeneous devices and records timestamped causal events.

Part of the event: Authors propose auditable self-driving laboratory framework

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