Geek+ recently introduced Gravity Control under its Gravity embodied-intelligence framework. The report says the method uses causal interventions on internal model features so natural-language prompts such as “grab the bread deeper” can correct local action deviations without updating the original policy weights or adding demonstration data. In reported physical-robot tests on out-of-distribution manipulation tasks, overall success rose from 17.5% to 87.5%, while the sideways-bread task improved from 5% to 95%. The method is intended to correct execution deviations when the robot already possesses the relevant skill, rather than teach it a new task.