Orthopedic robotics has transformed planning, navigation, alignment, and implant positioning. Yet during bone preparation and implant installation, the most consequential information often remains hidden: the evolving mechanical condition of the patient-specific bone–instrument and bone–implant interface.

Autonomous Orthopedics is a mechanics-first architecture being developed to make that hidden state observable and actionable. It combines sensorized instrumentation, multimodal interaction data, patient-specific state estimation, predictive biomechanics, and safety-constrained control to help determine whether the next action should continue, change, pause, or stop.

The first demonstrator is deliberately bounded to press-fit total hip replacement, where AO will be evaluated against independent ground truth for seating, fixation, micromotion, microdamage, and proximity to fracture. The pathway begins with measurement and decision support and advances—only after rigorous validation—to supervised force-adaptive execution and bounded task autonomy.

Across validated procedures, every case can strengthen future models, extend accumulated experience across care settings, and help establish the next control layer in orthopedic surgery.

Understand the mechanics. Predict the response. Control the next action.