Optimal chartering decisions for vessel fleet to support offshore wind farm maintenance operations

Obstacle avoidance and trajectory optimisation for an autonomous vessel utilising MILP path planning, computer vision based perception and feedback control

Energy-Efficient Routing of a Multirobot Station: A Flexible Time-Space Network Approach

Model Predictive Path Planning of AGVs: Mixed Logical Dynamical Formulation and Distributed Coordination

Coordination and Optimization Control Framework for Vessels Platooning in Inland Waterborne Transportation System

Paving the Way Towards Zero-Emission and Robust Inland Shipping

Distributed Nonlinear Trajectory Optimization for Multi-Robot Motion Planning

Review of floating object manipulation by autonomous multi-vessel systems

Flexible time–space network formulation and hybrid metaheuristic for conflict-free and energy-efficient path planning of automated guided vehicles

A learning-based co-planning method with truck and container routing for improved barge departure times

Collision avoidance of autonomous ships in inland waterways: A survey and open research problems

Distributed Dynamic Coordination Control for Offshore Platform Transportation Under Ocean Environmental Disturbances

A closed-loop maintenance strategy for offshore wind farms: Incorporating dynamic wind farm states and uncertainty-awareness in decision-making

Synchromodal freight transport re-planning under service time uncertainty: An online model-assisted reinforcement learning

Follow-the-Leader Guidance, Navigation, and Control of Surface Vessels: Design and Experiments

A robust optimization approach for platooning of automated ground vehicles in port hinterland corridors

Distributed Situational Awareness for Maritime Autonomous Surface Ships in Mixed Waterborne Transport: An Ontology-based Framework

A Collaborative Berth Planning Approach for Disruption Recovery

Two-echelon Multi-trip Vehicle Routing Problem with Synchronization for An Integrated Water- and Land-based Transportation System

Dynamic synchromodal transport planning under uncertainty: A reinforcement learning approach