Robots stop swallowing every experience whole: keeping only human-controlled segments of successful interventions lifts precision insertion success to 88.24%
Evo-RL filters deployment experience by estimated advantage before policy fine-tuning, raising attempt success rate on a real PiperX high-precision screw-insertion task from RECAP's 57.78% to 88.24%.