Technical challenges in autonomous robotic ultrasound examinations: perception, planning, and control

Clinical Snapshot

Key Findings

• Effect Size: Not applicable - qualitative technical review

• Primary Outcome: Identification of technical challenges in autonomous robotic ultrasound across perception, planning, and control domains

• Nnt Or Sensitivity: Not applicable - technical feasibility review

Clinical Application

Currently limited to research and development settings; clinical implementation requires significant technological advancement Relevant to Australian healthcare innovation initiatives, though TGA approval would be required for clinical deployment. Potential applications in rural/remote healthcare delivery consistent with Australian telehealth priorities Healthcare systems implementing or considering robotic ultrasound technology

Abstract

Ultrasound is one of the most widely used medical imaging modalities in clinical practice. Robot-assisted ultrasound systems (RAUS) offer significant advantages in reducing physician workload and improving imaging standardization. However, the dynamic and complex nature of the human physiological environment severely hinders the transition of RAUS from automation to full autonomy. This paper presents a narrative review of the core research progress of RAUS between 2021 and early 2026. It comprehensively analyzes the current technological landscape of autonomous robotic ultrasound by focusing on three core pillars: perception, planning, and control. By evaluating cutting-edge breakthroughs and existing limitations across these three domains, this paper identifies the key technical bottlenecks that restrict fully autonomous RAUS. Finally, we propose an evolutionary roadmap driven by multimodal fusion, digital twins, planning-control co-design, and embodied artificial intelligence (AI) architectures. This roadmap provides a developmental reference for autonomous robotic ultrasound examinations and also lays a crucial foundation for future autonomous ultrasound-guided surgical interventions.

References

1. 1.Guo, D., Zhang, Y., Huang, X., & He, C. (2026). Technical challenges in autonomous robotic ultrasound examinations: perception, planning, and control. Journal of Robotic Surgery. https://doi.org/10.1109/TVCG.2025.3549181