Surgical robotics is increasingly evolving from teleoperated devices toward intelligent and autonomous systems that can perceive, learn, reason, and collaborate with surgeons to support personalised interventional care delivery. Advances in perception, navigation, manipulation, and decision support are accelerating this transition, while artificial intelligence (AI) is increasingly positioned to improve surgical quality, reduce clinicians’ workload, and enhance patient outcomes and experience. Research efforts are focused on bridging robotics and AI to advance surgical technologies through safer and smarter human–robot teaming, adaptive intelligence, collaboration, and progressive autonomy in the operating room.

This workshop will explore emerging research themes in intelligent surgical robotics, shared autonomy, and human–robot interaction, including intent capture, haptics, real-time state estimation, multimodal sensing and fusion, simulators and digital twins, and reproducible validation pathways from phantom studies to pre-clinical and clinical evaluation. The workshop will also address evaluation metrics, standards, benchmarks, safety requirements, governance, and responsible deployment frameworks needed to translate AI-enabled surgical robotics from laboratory demonstrations into clinically meaningful and trustworthy systems.