Mizuho Aoki

According to our database, Mizuho Aoki authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Inducibility Analysis of Pedestrian's Interactive Behavior.

Kentaro Sugiura, Hiroyuki Okuda, Mizuho Aoki, Kazuma Uchida, Tatsuya Suzuki

Proceedings of the IEEE/SICE International Symposium on System Integration, 2025

2024

Switching Sampling Space of Model Predictive Path-Integral Controller to Balance Efficiency and Safety in 4WIDS Vehicle Navigation.

Mizuho Aoki, Kohei Honda, Hiroyuki Okuda, Tatsuya Suzuki

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Stein Variational Guided Model Predictive Path Integral Control: Proposal and Experiments with Fast Maneuvering Vehicles.

Kohei Honda, Naoki Akai, Kosuke Suzuki, Mizuho Aoki, Hirotaka Hosogaya, Hiroyuki Okuda, Tatsuya Suzuki

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Actual-Vehicle Verification of Automatic Parking in Narrow Spaces Considering Precise Collision Avoidance Constraints for Rectangular Objects.

Koki Hoshino, Kohei Honda, Mizuho Aoki, Hiroyuki Okuda, Tatsuya Suzuki

Proceedings of the 62nd Annual Conference of the Society of Instrument and Control Engineers, 2023

Evaluation of Controllability of Interaction Between Pedestrian and Autonomous Mobile Robot in Shared Mobility Space.

Kentaro Sugiura, Mizuho Aoki, Kazuhide Kuroda, Hiroyuki Okuda, Tatsuya Suzuki

Proceedings of the 20th International Conference on Informatics in Control, 2023

2022

Obstacle Avoidance Control Based on Nonlinear MPC for All Wheel Driven In-Wheel EV in Steering Failure.

Mizuho Aoki, Kohei Honda, Hiroyuki Okuda, Tatsuya Suzuki, Akira Ito, Daisuke Nagasaka

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Comparative Study of Prediction Models for Model Predictive Path- Tracking Control in Wide Driving Speed Range.

Mizuho Aoki, Kohei Honda, Hiroyuki Okuda, Tatsuya Suzuki

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021