Richard Bucknall

发表

The angle guidance path planning algorithms for unmanned surface vehicle formations by using the fast marching method

Yuanchang Liu, Richard Bucknall, R. Bucknall, 2016 .

A practical path planning and navigation algorithm for an unmanned surface vehicle using the fast marching algorithm

Yuanchang Liu, Richard Bucknall, Rui Song, 2015, OCEANS 2015 - Genova.

Development and modelling of a lab scaled PEM fuel cell drive system for city driving application

Wei Wu, Richard Bucknall, Julius Partridge, 2016, 2016 51st International Universities Power Engineering Conference (UPEC).

Uncertainty analysis in ship performance monitoring

Richard Bucknall, Tristan Smith, L Aldous, 2015 .

Development of Bus Drive Technology towards Zero Emissions: A Review

Richard Bucknall, Julius Partridge, Wei Wu, 2017 .

Mechanical and electrical performance analysis of high power subsea transmission cable

Richard Bucknall, Eng Hwa Yap, C. H. Chien, 2004, 39th International Universities Power Engineering Conference, 2004. UPEC 2004..

Cost-effective reinforcement learning energy management for plug-in hybrid fuel cell and battery ships

Richard Bucknall, Julius Partridge, Peng Wu, 2020, Applied Energy.

Intelligent Tracking of Moving Ships in Constrained Maritime Environments Using AIS

Yuanchang Liu, Richard Bucknall, Rui Song, 2019, Cybern. Syst..

Cooperative path planning algorithm for marine surface vessels

Richard Bucknall, CheeKuang Tam, C. Tam, 2013 .

Navigating high‐speed unmanned surface vehicles: System approach and validations

Lei Zhang, Yumin Su, Yuanchang Liu, 2020, J. Field Robotics.

Modelling and Control of Autonomous Marine Vehicles

Yuanchang Liu, Richard Bucknall, 2019 .

Developing an Energy Effective Autonomous USV for Undertaking Missions at the Highlands of Peru

Francisco Cuellar, Yuanchang Liu, Richard Bucknall, 2018, 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO).

Aspects of a reliable autonomous navigation and guidance system for an unmanned surface vehicle

Wenwen Liu, Yuanchang Liu, Richard Bucknall, 2016, OCEANS 2016 MTS/IEEE Monterey.

Intelligent multi-task allocation and planning for multiple unmanned surface vehicles (USVs) using self-organising maps and fast marching method

Xinyu Zhang, Yuanchang Liu, Richard Bucknall, 2019, Inf. Sci..

Fuel economy of a current hybrid London bus and fuel cell bus application evaluation

Richard Bucknall, Julius Partridge, Cedrick Lin, 2016, 2016 51st International Universities Power Engineering Conference (UPEC).

A survey of formation control and motion planning of multiple unmanned vehicles

Yuanchang Liu, Richard Bucknall, R. Bucknall, 2018, Robotica.

A two-layered fast marching path planning algorithm for an unmanned surface vehicle operating in a dynamic environment

Wenwen Liu, Yuanchang Liu, Richard Bucknall, 2015, OCEANS 2015 - Genova.

Path planning algorithm for unmanned surface vehicle formations in a practical maritime environment

Yuanchang Liu, Richard Bucknall, R. Bucknall, 2015 .

A multi-layered fast marching method for unmanned surface vehicle path planning in a time-variant maritime environment

Yuanchang Liu, Richard Bucknall, Rui Song, 2017 .

Collision risk assessment for ships

Richard Bucknall, CheeKuang Tam, C. Tam, 2010 .

Comparing Trimaran Small Waterplane Area Center Hull (TriSWACH), Monohull, and Trimaran Hullforms: Some Initial Results

Richard Bucknall, Alistair Greig, Tim P. McDonald, 2013 .

Smoothed A* algorithm for practical unmanned surface vehicle path planning

Yuanchang Liu, Richard Bucknall, Rui Song, 2019, Applied Ocean Research.

Methodology for the Early-Stage Design of Electrical Power Systems in a Future Generation of Colombian Warships

Richard Bucknall, Gabriela Salas-Berrocal, 2019 .

The Design of an Embedded Multi-Sensor Data Fusion System for Unmanned Surface Vehicle Navigation Based on Real Time Operating System

Wenwen Liu, Yuanchang Liu, Richard Bucknall, 2018, 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO).

Practical Moving Target Detection in Maritime Environments Using Fuzzy Multi-sensor Data Fusion

Wenwen Liu, Yuanchang Liu, Richard Bucknall, 2020, Int. J. Fuzzy Syst..

Predictive navigation of unmanned surface vehicles in a dynamic maritime environment when using the fast marching method

Wenwen Liu, Yuanchang Liu, Richard Bucknall, 2017 .

Wide-ranging radar simulation data generation method based on multi-scale electronic charts in a maritime simulator

Yuanchang Liu, Richard Bucknall, X.-Y. Zhang, 2016 .

Efficient multi-task allocation and path planning for unmanned surface vehicle in support of ocean operations

Yuanchang Liu, Richard Bucknall, R. Bucknall, 2018, Neurocomputing.

An interval Kalman filter–based fuzzy multi-sensor fusion approach for fault-tolerant heading estimation of an autonomous surface vehicle

Wenwen Liu, Robert Sutton, Richard Bucknall, 2016 .

An analysis of the energy efficiency of LNG ships powering options using the EEDI

Richard Bucknall, E. Ekanem Attah, R. Bucknall, 2015 .

Hybrid fuel cell and battery propulsion system modelling and multi-objective optimisation for a coastal ferry

Peng Wu, Richard Bucknall, R. Bucknall, 2020 .

A Robust Localization Method for Unmanned Surface Vehicle (USV) Navigation Using Fuzzy Adaptive Kalman Filtering

Wenwen Liu, Yuanchang Liu, Richard Bucknall, 2019, IEEE Access.

The fast marching method based intelligent navigation of an unmanned surface vehicle

Xinyu Zhang, Yuanchang Liu, Richard Bucknall, 2017 .

Path-planning algorithm for ships in close-range encounters

Richard Bucknall, CheeKuang Tam, C. Tam, 2010 .

Electrical Propulsion in the Low Carbon Economy

Richard Bucknall, Ian Whitelegg, 2013 .

Evaluation of the Proximity Effect upon the Impedance Characteristics of Subsea Power Transmission Cables

Richard Bucknall, Chang Hsin Chien, 2006 .

Optimised MOPSO with the grey relationship analysis for the multi-criteria objective energy dispatch of a novel SOFC-solar hybrid CCHP residential system in the UK

Richard Bucknall, Yuanchang Liu, Xinjie Yuan, 2021 .

An Intelligent Energy Management Framework for Hybrid-Electric Propulsion Systems Using Deep Reinforcement Learning pdf

Richard Bucknall, Enrico Anderlini, Julius Partridge, 2021, ArXiv.

Near-optimal energy management for plug-in hybrid fuel cell and battery propulsion using deep reinforcement learning

Richard Bucknall, Enrico Anderlini, Julius Partridge, 2021, International Journal of Hydrogen Energy.

Development and Evaluation of a Degree of Hybridisation Identification Strategy for a Fuel Cell Supercapacitor Hybrid Bus

Richard Bucknall, Julius Partridge, Wei Wu, 2019, Energies.

Assessing the carbon dioxide emission reduction potential of a natural gas container carrier

Richard Bucknall, R Pawling, J Calleya, 2011 .

Design and implementation of an USV for large bodies of fresh waters at the highlands of Peru

Francisco Cuellar, Richard Bucknall, Rui Song, 2017, OCEANS 2017 – Anchorage.