Mayank Gupta
Vol. 21, Issue 1, Jan-Jun 2026
Abstract:
Cognitive robotics is reshaping precision healthcare by combining robotic manipulation with perception, learning, contextual reasoning, and human-in-the-loop control. In medicine and dentistry, this shift is especially important because many procedures require sub-millimeter accuracy, stable motion, continuous image interpretation, and protection of delicate anatomical structures. A cognitive robotics-driven assistance system goes beyond conventional teleoperation by integrating preoperative imaging, intraoperative sensing, workflow awareness, decision support, haptic or virtual constraints, and adaptive execution. This paper examines how such systems can support precision medical and dental procedures, including minimally invasive surgery, interventional radiology, implant dentistry, full-arch rehabilitation, and endodontic microsurgery. It argues that the main value of cognitive robotics lies not in replacing clinicians, but in augmenting clinical judgment with better perception, safer motion, and more consistent execution. At the same time, important barriers remain, including limited autonomy in real-world settings, lack of standardized outcome measures, training demands, regulatory uncertainty, high capital cost, and the need for robust validation across diverse patient populations. Current evidence suggests that cognitive robotic assistance is already clinically relevant in image-guided and implant-related procedures, while broader adoption will depend on explainable AI, stronger human factors design, multimodal sensing, and prospective multicenter trials. The future of precision care is therefore likely to be collaborative, where intelligent robotic systems act as disciplined, context-aware assistants under expert human supervision.
DOI: http://doi.org/10.37648/ijrmst.v21i01.006
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