Model-Informed Safe Reinforcement Learning for Bipedal Locomotion via Step-to-Step Prediction

The work uses a reduced-order step-to-step predictor to shape training and filter foot placements at runtime. Evaluation uses full-order Digit in MuJoCo with a whole-body controller. The certificate applies to the reduced model; the study does not establish a general full-order or hardware safety guarantee.