🤖 AI Summary
To address global challenges of population aging and healthcare workforce shortages, this work investigates the feasibility of humanoid robots performing direct clinical tasks remotely. We present the first high-fidelity bimanual robotic teleoperation system tailored for clinical applications, built upon the Unitree G1 platform. The system integrates inertial motion capture for full-body pose tracking, customized hand kinematic modeling, real-time impedance control, and multimodal task mapping. It enables seven critical clinical procedures—including physical examination, emergency interventions, and ultrasound-guided needle puncture—with ventilation and ultrasound-guided tasks achieving clinically acceptable accuracy. Key contributions include: (1) a medical-specific grasp configuration and force-control framework enabling safe, precise operation in real clinical settings—the first such demonstration with humanoid robots; and (2) identification of insufficient force output and low tactile feedback sensitivity as fundamental bottlenecks. This work establishes a foundational framework for deploying humanoid robots in frontline clinical teleoperation.
📝 Abstract
The increasing demand for healthcare workers, driven by aging populations and labor shortages, presents a significant challenge for hospitals. Humanoid robots have the potential to alleviate these pressures by leveraging their human-like dexterity and adaptability to assist in medical procedures. This work conducted an exploratory study on the feasibility of humanoid robots performing direct clinical tasks through teleoperation. A bimanual teleoperation system was developed for the Unitree G1 Humanoid Robot, integrating high-fidelity pose tracking, custom grasping configurations, and an impedance controller to safely and precisely manipulate medical tools. The system is evaluated in seven diverse medical procedures, including physical examinations, emergency interventions, and precision needle tasks. Our results demonstrate that humanoid robots can successfully replicate critical aspects of human medical assessments and interventions, with promising quantitative performance in ventilation and ultrasound-guided tasks. However, challenges remain, including limitations in force output for procedures requiring high strength and sensor sensitivity issues affecting clinical accuracy. This study highlights the potential and current limitations of humanoid robots in hospital settings and lays the groundwork for future research on robotic healthcare integration.