3 papers
cs.RO2026
DAISS: Phase-Aware Imitation Learning for Dual-Arm Robotic Ultrasound-Guided Interventions
Feng Li, Pei Liu, Shiting Wang +4
Imitation learning has shown strong potential for automating complex robotic manipulation. In medical robotics, ultrasound-guided needle insertion demands precise bimanual coordina…
cs.HC2026
Comparative Study of Ultrasound Shape Completion and CBCT-Based AR Workflows for Spinal Needle Interventions
Tianyu Song, Feng Li, Felix Pabst +4
Purpose: This study compares two augmented reality (AR)-guided imaging workflows, one based on ultrasound shape completion and the other on cone-beam computed tomography (CBCT), fo…
cs.HC2025
Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication
Tianyu Song, Feng Li, Yuan Bi +6
The advancement and maturity of large language models (LLMs) and robotics have unlocked vast potential for human-computer interaction, particularly in the field of robotic ultrasou…