Main research interests: Coordination within and among transport hubs
4S Framework: Real-time coordination of
Smart Equipment in Smart Hubs for Smart Ports in Smart Networks
Massive introduction of
Sensing, Computation, and Communication Technologies
More information on currently open vacancies? [Click here]
Inauguration Speech on communication, logistics, autonomous ships, and multi-machine engineering
"What if ships could talk?", or: Coordination for Real-Time Logistics
Watch the public presentation online]
Prospective students Multi-Machine Engineering (MME):
Interested in becoming a multi-machine Master of Science at TU Delft?
This video tells you all about our 2-year MSc program.
[ Publications: Recent]
[ In pictures]
[ Control & Coordination]
[ Transport Logistics]
Recently added publications
M. Li, X. Jiang, R.R. Negenborn. Opportunistic maintenance for offshore wind farms with multiple-component age-based preventive dispatch. Accepted for publication in Ocean Engineering, 2021. K. Wang, H. Xu, J. Li, L. Huang, R. Ma, X. Jiang, Y. Yuan, N.A. Mwero, P. Sun, R.R. Negenborn, X. Yan. A novel dynamic al collaborative optimization method of ship energy consumption based on a spatial and temporal distribution analysis of voyage data. Accepted for publication in Applied Ocean Research, 2021. Z. Du, R.R. Negenborn, V. Reppa. Cooperative multi-agent control for autonomous ship towing under environmental disturbances. Accepted for publication in IEEE/CAA Journal of Automatica Sinica, 2021. R.B. Larsen, R. Baksteen, B. Atasoy, R.R. Negenborn. Secure multi-party co-planning of barge
departures. Accepted for the 16th IFAC International Conference on Control in Transportation (IFAC CTS'21), Lille, France, June 2021. Z. Du, V. Reppa, R.R. Negenborn. MPC-based COLREGS compliant collision avoidance for a multi-vessel ship-towing system. Accepted for the 2021 European Control Conference (ECC'21), Rotterdam, The Netherlands, June/July 2021.
How will autonomous ships work?
Research in Sketches
Active topic cloud (past 3 years)
transport over water,
control of ships
transportation networks, inter-terminal transport
reinforcement learning, Kalman filters, learning robots
The Brain of TU Delft
H2020 MG-2-6-2019 -- NOVIMOVE: "Novel inland waterway transport concepts"
Promoting Green Transport and Mobility: "AVATAR"
Maritime Innovation-Impulse Project: NoMES: Novel and Minimized Emissons Shipping
NWO Topsector Water & Maritiem:
Blauwe Route -- "TRiLOGy" and " READiNESS"
Interreg 2 Seas: "ISHY: Implementation of Ship Hybridisation"
A multi-machine engineering perspective
H2020 EU.3.2.5 2017: Cross-cutting marine and maritime research:
"Space@Sea -- Transport & Logistics"
"Impulse Autonomous Shipping for Amsterdam 2018"
"Port Impact of Autonomous Ship Applications"
NWO Social & Physical Sciences 2016
"Complexity Methods for Predictive Synchromodality" (COMET-PS)
STW Perspectief 2015 Program "i-CAVE"
Strategic Innovation Project AIDA:
Automatic Identification of Research Trends
STW Water 2015 Program "GasDrive"
Topsector Water/STW Maritime 2013
Inter Terminal Transport at the Port of Rotterdam
Towards guaranteed port accessibility
Innovational Research Incentives
Scheme 2010 VENI
AIDA -- The Booklet
Automatic Research Positioning & Trend Identification
Journal Special Issues
Computational Transport Logistics at Work
(Special issue of Transportation Research Part E)
(Special issue of SWZ Maritime 2017/02)
(Special issue of SWZ Maritime 2015/10)
Water Prediction and Control Technology
(Special issue of Journal of Hydroinformatics)
Videos on Inter Terminal Transport
Opportunities for Real-Time Coordination
Automated MTS and waterborne AGVs as solution?