# EmbodiedLab

Embodied agents are asked to work like students in a teaching laboratory: set up the apparatus, choose the conditions, read the instruments and report a physical quantity. Prior manipulation benchmarks only scored reaching a given target state, while scientific-discovery benchmarks replaced experiments with text commands or numerical queries. EmbodiedLab sets 30 quantitative experiments across five disciplines on 14 apparatus platforms, resamples each instance's hidden parameters, and scores the result together with the readings recorded in that episode and the restored bench; run in their developers' coding agents, Claude Opus 5.5 reaches 43.3% success under native control and GPT-6 Astra 40.0%.

Embodied agents are asked to work like students in a teaching laboratory: set up the apparatus, choose the conditions, read the instruments and report a physical quantity. Prior manipulation benchmarks only scored reaching a given target state, while scientific-discovery benchmarks replaced experiments with text commands or numerical queries. EmbodiedLab sets 30 quantitative experiments across five disciplines on 14 apparatus platforms, resamples each instance's hidden parameters, and scores the result together with the readings recorded in that episode and the restored bench; run in their developers' coding agents, Claude Opus 5.5 reaches 43.3% success under native control and GPT-6 Astra 40.0%.