An AI co-pilot bronchoscope robot is introduced to enable novice doctors to perform lung examinations as safely and effectively as experienced specialists. The system features a user-friendly, plug-and-play catheter for robot-assisted steering, allowing access to bronchi beyond the fifth generation in average adult patients. The AI-human shared control algorithm, trained on historical bronchoscopic videos and expert imitation, enables safe steering and reduces reliance on expert knowledge. In vitro and in vivo results show that the system equips novice doctors with the skills to perform lung examinations as expertly as seasoned practitioners. The robot integrates a robotic arm and is teleoperated by a doctor using a remote-control console to steer the bronchoscopic catheter. The steering control system includes four linear motors and four force sensors for precise movement. The catheter is designed with a stiff proximal section and a flexible distal section for steering. The system also includes an AI-human shared control algorithm that minimizes tissue damage and improves safety. Simulation and in vitro experiments demonstrate the system's effectiveness in navigating bronchial structures with high precision. In vivo tests on a live porcine lung model show that the AI co-pilot system enables novice doctors to perform bronchoscopy with performance comparable to experienced specialists. The system reduces the cognitive and physical burden on doctors, offering a promising solution to address the global shortage of experienced bronchoscopists and improve access to lung disease diagnosis and treatment. The AI co-pilot bronchoscope robot has the potential to revolutionize bronchoscopy by providing a safe, efficient, and accessible solution for both novice and experienced doctors.An AI co-pilot bronchoscope robot is introduced to enable novice doctors to perform lung examinations as safely and effectively as experienced specialists. The system features a user-friendly, plug-and-play catheter for robot-assisted steering, allowing access to bronchi beyond the fifth generation in average adult patients. The AI-human shared control algorithm, trained on historical bronchoscopic videos and expert imitation, enables safe steering and reduces reliance on expert knowledge. In vitro and in vivo results show that the system equips novice doctors with the skills to perform lung examinations as expertly as seasoned practitioners. The robot integrates a robotic arm and is teleoperated by a doctor using a remote-control console to steer the bronchoscopic catheter. The steering control system includes four linear motors and four force sensors for precise movement. The catheter is designed with a stiff proximal section and a flexible distal section for steering. The system also includes an AI-human shared control algorithm that minimizes tissue damage and improves safety. Simulation and in vitro experiments demonstrate the system's effectiveness in navigating bronchial structures with high precision. In vivo tests on a live porcine lung model show that the AI co-pilot system enables novice doctors to perform bronchoscopy with performance comparable to experienced specialists. The system reduces the cognitive and physical burden on doctors, offering a promising solution to address the global shortage of experienced bronchoscopists and improve access to lung disease diagnosis and treatment. The AI co-pilot bronchoscope robot has the potential to revolutionize bronchoscopy by providing a safe, efficient, and accessible solution for both novice and experienced doctors.