Wrong Attractors in Robotics: Calibration Drift, Reward Hacking, and the Displacement Framework for Autonomous System Failure

Robotic systems fail through displacement. Calibration drift is accumulated D(ξ_calibration). Reward hacking is wrong attractor convergence. AI alignment is ensuring autonomous systems converge on S⁰_human_values rather than proxy attractors. All autonomous system failure modes are instances of wrong attractor dynamics.