Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2027: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2026: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2025: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
Outline of Research at the Start |
Background: Robotic pediatric surgery is challenging due to limited workspace and delicate tissues. Purpose: To reduce the surgeon’s burden, we aim to automate needle picking using AI trained in VR. Plan: Year 1: Improve VR simulator realism and validate with real data. Year 2: Implement and train deep reinforcement learning model in simulation. Year 3: Transfer the model to a real robot and compare its performance to expert surgeons. Potential impact: Automating repetitive tasks may allow surgeons to focus on critical actions, improving patient outcomes.
|