activity
20222026
most citedCollision probability reduction method for tracking control in automatic docking / berthing using reinforcement learning

15 citations · 25 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2026

Development and Identification of a Linear Low-Speed Ship Maneuvering Model from Full-Scale Data

Agnes N. Mwange, Taichi Kambara, Kouki Wakita +2

Despite significant technological progress, the realization of fully autonomous berthing and unberthing remains a significant challenge. One of the primary obstacles is the complex…

eess.SY2024

Probabilistic Prediction of Ship Maneuvering Motion using Ensemble Learning with Feedforward Neural Networks

Kouki Wakita, Youhei Akimoto, Atsuo Maki

In the field of Maritime Autonomous Surface Ships (MASS), the accurate modeling of ship maneuvering motion for harbor maneuvers is a crucial technology. Non-parametric system ident…

cs.RO2024

Conceptual Design on the Field of View of Celestial Navigation Systems for Maritime Autonomous Surface Ships

Kouki Wakita, Fuyuki Hane, Takeshi Sekiguchi +4

In order to understand the appropriate field of view (FOV) size of celestial automatic navigation systems for surface ships, we investigate the variations of measurement accuracy o…

eess.SY2024★ 1 cited

Perspective on the Marine Simulator for Autonomous Vessel Development

Ryouhei Sawada, Yoshiki Miyauchi, Suisei Wada +5

There is a growing demand for simulators for the research and development of maritime autonomous surface ships (MASS) and the approval of autonomous navigation algorithms. Simulato…

eess.SY2023

Parameter fine-tuning method for MMG model using real-scale ship data

Rin Suyama, Rintaro Matsushita, Ryo Kakuta +2

In this paper, a fine-tuning method of the parameters in the MMG model for the real-scale ship is proposed. In the proposed method, all of the arbitrarily indicated target paramete…

eess.SY2023★ 9 cited

Data Augmentation Methods of Dynamic Model Identification for Harbor Maneuvers using Feedforward Neural Network

Kouki Wakita, Yoshiki Miyauchi, Youhei Akimoto +1

A dynamic model for an automatic berthing and unberthing controller has to estimate harbor maneuvers, which include berthing, unberthing, approach maneuvers to berths, and entering…

eess.SY2022★ 15 cited

Collision probability reduction method for tracking control in automatic docking / berthing using reinforcement learning

Kouki Wakita, Youhei Akimoto, Dimas M. Rachman +3

Automation of berthing maneuvers in shipping is a pressing issue as the berthing maneuver is one of the most stressful tasks seafarers undertake. Berthing control problems are ofte…