On Neural Network Identification for Low-Speed Ship Maneuvering Model. - Kouki Wakita; Atsuo Maki; Umeda Naoya; Yoshiki Miyauchi; Tohga Shimoji; Dimas M. Rachman; Youhei Akimoto (CoRR, 2021)

System Parameter Exploration of Ship Maneuvering Model for Automatic Docking / Berthing using CMA-ES. - Yoshiki Miyauchi; Atsuo Maki; Naoya Umeda; Dimas M. Rachman; Youhei Akimoto (CoRR, 2021)

Warm-started Semionline Trajectory Planner for Ship's Automatic Docking (Berthing). - Dimas M. Rachman; Atsuo Maki; Yoshiki Miyauchi; Naoya Umeda (CoRR, 2021)

Collision probability reduction method for tracking control in automatic docking / berthing using reinforcement learning. - Kouki Wakita; Youhei Akimoto; Dimas M. Rachman; Yoshiki Miyauchi; Umeda Naoya; Atsuo Maki (CoRR, 2022)

Experimental Low-speed Positioning System with VecTwin Rudder for Automatic Docking (Berthing). - Dimas M. Rachman; Yusuke Aoki; Yoshiki Miyauchi; Naoya Umeda; Atsuo Maki (CoRR, 2022)

Saddle Point Optimization with Approximate Minimization Oracle and Its Application to Robust Berthing Control. - Youhei Akimoto; Yoshiki Miyauchi; Atsuo Maki (ACM Trans. Evol. Learn. Optim., 2022)

Trade-off Between Robustness and Worst-Case Performance in Min-Max Optimization. - Hinata Edo; Yoshiki Miyauchi; Atsuo Maki; Youhei Akimoto (GECCO, 2023)

Ship trajectory planning method for reproducing human operation at ports. - Rin Suyama; Yoshiki Miyauchi; Atsuo Maki (CoRR, 2023)

Data Augmentation Methods of Parameter Identification of a Dynamic Model for Harbor Maneuvers. - Kouki Wakita; Yoshiki Miyauchi; Youhei Akimoto; Atsuo Maki (CoRR, 2023)

Nonlinear steering control under input magnitude and rate constraints with exponential convergence. - Rin Suyama; Satoshi Satoh; Atsuo Maki (CoRR, 2023)

Parameter fine-tuning method for MMG model using real-scale ship data. - Rin Suyama; Rintaro Matsushita; Ryo Kakuta; Kouki Wakita; Atsuo Maki (CoRR, 2023)

Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min-Max Optimization and Its Application to Berthing Control Tasks. - Atsuhiro Miyagi; Yoshiki Miyauchi; Atsuo Maki; Kazuto Fukuchi; Jun Sakuma; Youhei Akimoto (ACM Trans. Evol. Learn. Optim., 2023)

A Practical and Online Trajectory Planner for Autonomous Ships' Berthing, Incorporating Speed Control. - Agnes Ngina Mwange; Dimas Maulana Rachman; Rin Suyama; Atsuo Maki (CoRR, 2024)

Simultaneous optimization of control gains and reference filter coefficients for trajectory tracking control. - Amane Sakanashi; Rin Suyama; Atsuo Maki; Youhei Akimoto (CoRR, 2024)

Perspective on the Marine Simulator for Autonomous Vessel Development. - Ryouhei Sawada; Yoshiki Miyauchi; Suisei Wada; Takuya Tanigushi; Satoru Hamada; Hiroaki Koike; Kouki Wakita; Atsuo Maki (CoRR, 2024)

Quantitative Evaluation of Full-Scale Ship Maneuvering Characteristics During Berthing and Unberthing. - Agnes N. Mwange; Yoshiki Miyauchi; Taichi Kambara; Hiroaki Koike; Kazuyoshi Hosogaya; Atsuo Maki (CoRR, 2024)

Conceptual Design on the Field of View of Celestial Navigation Systems for Maritime Autonomous Surface Ships. - Kouki Wakita; Fuyuki Hane; Takeshi Sekiguchi; Shigehito Shimizu; Shinji Mitani; Youhei Akimoto; Atsuo Maki (CoRR, 2024)

Probabilistic Prediction of Ship Maneuvering Motion using Ensemble Learning with Feedforward Neural Networks. - Kouki Wakita; Youhei Akimoto; Atsuo Maki (CoRR, 2024)