Main research interests : Coordination within and among transport hubs
4S Framework: Real-time coordination of
S mart Equipment in S mart Hubs for S mart Ports in S mart Networks
Anticipating the Massive introduction of
Sensing, Computation, and Communication Technologies
Vacancies :
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 .
Spotlight publication
Publications: [Recent ]
[All ]
[In pictures ]
[Control & Coordination ]
[Transport Logistics ]
Recently added publications
M. van Pampus, A. Haseltalab, V. Garofano, V. Reppa, Y. Deinema, R.R. Negenborn. Distributed leader-follower formation control for autonomous vessels
based on model predictive control . Accepted for the 2021 European Control Conference (ECC'21), Rotterdam, The Netherlands, June/July 2021. S. Hurkmans, B. Atasoy, M.Y. Maknoon, R.R. Negenborn. Territory planning for a multi-objective residential waste collection problem . Accepted for publication in Transportation Research Record , 2021. C. Armenta, S. Delprat, R.R. Negenborn, A. Haseltalab, J. Lauber, M. Dambrine. Exploiting convexity to reduct the computational cost of hybrid vessel energy management . Accepted for the 2021 American Control Conference (ACC'21), New Orleans, Louisiana, May 2021. B.A. Beirogo, F. Schulte, R.R. Negenborn. A learning-based optimization approach for autonomous ridesharing platforms with service level contracts and on-demand hiring of idle vehicles . Accepted for publication in Transportation Science , 2021. C. Armenta, S. Delprat, R.R. Negenborn, A. Haseltalab, J. Lauber, M. Dambrine. Computational reduction of optimal hybrid vehicle energy management . IEEE Control Systems Letters , 2021.
[More...]
Infographics
How will autonomous ships work?
Books
Research in Sketches
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Active topic cloud (past 3 years)
Keywords
logistics ,
intermodal transport ,
container transport
transport over water ,
control of ships
transportation networks , inter-terminal transport
water
networks
power networks ,
gas networks
multi-agent
systems , model
predictive
control , hybrid
systems
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"
SmartPort 2017
"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
Program "ShipDrive"
Inter Terminal Transport at the Port of Rotterdam
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Towards guaranteed port accessibility
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Innovational Research Incentives
Scheme 2010 VENI
Grant
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AIDA -- The Booklet
Automatic Research Positioning & Trend Identification
Journal Special Issues
Computational Transport Logistics at Work
(Special issue of Transportation Research Part E)
Autonomous Ships
(Special issue of SWZ Maritime 2017/02)
Propulsion Systems
(Special issue of SWZ Maritime 2015/10)
Water Prediction and Control Technology
(Special issue of Journal of Hydroinformatics)
Videos on Inter Terminal Transport
VIDEO
Opportunities for Real-Time Coordination
VIDEO
Automated MTS and waterborne AGVs as solution?