AI-assisted biomass plant operations
Monitoring, early detection of anomalies, moisture forecasting, and fuel-blend optimization.
Our laboratory applies AI, IoT, robotics, and mathematical methods to real-world challenges in energy, agriculture, healthcare, and welfare. We also study mathematical knowledge management and discovery.
Monitoring, early detection of anomalies, moisture forecasting, and fuel-blend optimization.
Safe route planning and efficient micro-batch harvesting.
Private Set Intersection protocols for secure cross-institution record matching.
Estimating patient posture and anticipating bed exits from RFID signals.
Real-time feedback comparing learner and instructor movements.
Modernizing a formal mathematics environment, alongside Mizar tools and MML extensions.
Development support for Mizar, including syntax highlighting, definition navigation, and verification commands.
Web environments for searching and browsing definitions and theorems in the Mizar Mathematical Library.
Formalization of mathematical topics including inverse function theorems and higher-order partial differentiability.
Older-adult monitoring and heart-rate and respiration estimation using sensor signals.
Landslide and avalanche alerts, structural health monitoring, and infrared image analysis.
Interactive learning materials for projectile motion and gas laws.
A robot-arm-based automatic cleaning system for existing cat litter boxes.
Third-year undergraduates: 6 · Fourth-year: 1 · Graduate students: 0
Hands-on fundamentals of machine learning and web application development, together with reading papers and discussions.
Research planning, design, implementation, experiments, evaluation, and progress presentations.
Reading papers, discussing research progress, and developing ideas for solving social challenges.
For inquiries about our research and collaboration, please contact the laboratory.