Global Vision Lectures was initiated by the International Office of WUT, aiming at providing a high-level and multi-field international academic exchange platform for teachers and students by uniting teaching and scientific research units to hold a series of high-end academic lectures. This project is designed to promote scientific research exchanges, to broaden the international horizons of teachers and students, and to further enhance their international communication capacity. The ninth lecture will be held on October 20th, and the activity information is as follows:

Topic: Safety challenges for intelligent and autonomous shipping - Key achievements and outlook

Lecturer: Professor Gerasimos Theotokatos

Time: October 20th, 2023 (14:30-16:00), UTC+8

Venue: Lecture Hall, 9th floor, Nautical Building, Yujiatou Campus

Organizer: Intelligent Transportation Systems Research Center

Biography:

Gerasimos Theotokatos, DNV Professor, Director of the Maritime Safety Research Centre, Department of Marine and Offshore Engineering, University of Cricket, the UK. He is the IMarEST Fellow, and the winner of 2020 Denny Medal, being dedicated to research on advanced equipment and technologies for safe, reliable and green maritime orientated equipment.

Abstract:

Driven by the need to address sustainability and resilience of shipping operations as well as potential seafarers' deficit, the development of smart and autonomous ships has accelerated during the last decade. Autonomous ships design and operations require new stipulated regulations and amendments of the current regulatory frameworks accounting for the human involvement mostly at remote control centers. This presentation provides insights based on the derived results from the AUTOSHIP project funded by EU Horizon 2020, delving into the development of a holistic framework for safety, security, and cyber security for maritime autonomous surface ships (MASS). The mapping, gaps analysis and identification of priorities pertinent to the legal, regulatory liabilities and training frameworks for the design and operation of MASS are also highlighted. A methodology to verify the economic feasibility of cargo MASS is also highlighted. A methodology to verify the economic feasibility of cargo MASS is described considering the two scenarios of retrofitting existing ships and newbuilds of the Next Generation Autonomous Ships (NGAS). Research results on the risk-based design of the autonomous navigation system as well as the health management of autonomous ships power systems are highlighted. The presentation concludes with future research directions for developing safe and sustainable intelligent and autonomous ecosystems.

Rewritten by:Fan Yiwen

Edited by: Wang Jingjing, Li Tiantian

Source: Intelligent Transportation Systems Research Center, International Office of WUT