Interested research topics
1. Design and control studies regarding hybrid electric vehicle
2. Optimal Control of Hybrid Vehicles based on Model Predictive Control
3. Auto Guided Vehicles (AGVs)by Visual Feedback
4. Cooperatio ncontrol of Multi Unmanned Aerial Vehicles (UAV's)
5. Nonlinear model identification design based on machine learning
M2 : Mr. Hashimoto
Study Topic: High-Accuracy Self-Positioning Algorithm with Particle Filter
M2 : Mr. Hirobe
Study Topic: Drive Assist System based on Human-in-the-Loop
M2 : Mr. Yoshida
Study Topic: Formation Control for Multi-Agents with Consensus
M1 : Mr. Otsu
Study Topic: Coordinated Dispersion of Swarm Robots Subject to Communication Constraints
M1 : Mr. Kubo
Study Topic: Personal-Space-Aware Path Planning and Control for Autonomous Mobile Robots
M1 : Mr. Fukazawa
Study Topic: High-Precision Self-Localization via ESS-Based Adaptive Noise Injection for Particle Filter Diversity
M1 : Mr. Nishiyama
Study Topic: Drive Assist System for HEVs
Bachelar cource students
Mr. Abe
Study Topic: Control for Swarm Robot and UAV
Mr. Arai
Study Topic: Model Predictive Energy Management for HEVs Incorporating Grid-Forming Inverter Characteristics
Mr. Iijima
Study Topic: High-precision Self-Localization Using Multi-Sensors
Mr. Ishii
Study Topic: Drive Assist System for HEVs
Mr. Ishiki
Study Topic: A Proactive Motion Planning for Enhancing Safety and Psychological Security in Dense Crowds
Mr. Uzawa
Study Topic: Avoidance Control of Mobile Robots Under Dense Crowds
Mr. Suzuki
Study Topic: Drive Assist System for HEVs
Miss. Tojiki
Study Topic: Control for Swarm Robot and UAV
Mr. Hirano
Study Topic: Energy Management System for HEVs
Mr. Fukase
Study Topic: Efficient Exploration for Swarm Robots and Application to SLAM
Mr. Furuse
Study Topic: Control for Swarm Robot and UAV
Miss. Horigome
Study Topic: Obstacle Avoidance Control for a Mobile Robot
Our Lab. Member in 2026
Overview of research
EHV control
Robust Model Predictive Control for HEVs with Prediction Model for Future Vehicle Speed
Obstacle Avoidance Control for Autonomous Mobile Robots (AMRs) based on Multi-sensor
LSTM-Based Prediction Model for Future Vehicle Speed Using Driver Action Data
Cooperatio Control of Multi Unmanned Aerial Vehicles