SLAM in the Wild and Dark：極限環境における移動ロボットの自己位置推定と地図生成

• Project/Area Number: 25K22112
• Research Category: Grant-in-Aid for Challenging Research (Exploratory)
• Allocation Type: Multi-year Fund
• Review Section: Medium-sized Section 22:Civil engineering and related fields
• Research Institution: The University of Tokyo
• Principal Investigator: 山下 淳 東京大学, 大学院新領域創成科学研究科, 教授 (30334957)
• Project Period (FY): 2025-06-27 – 2027-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥6,370,000 (Direct Cost: ¥4,900,000、Indirect Cost: ¥1,470,000); Fiscal Year 2026: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000); Fiscal Year 2025: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)