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| 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
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Anticipating the
Massive introduction of
Sensing, Computation, and
Communication Technologies
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Vacancies:
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Assistant/Associate Professor of
Interconnected Systems for Smart Industry
Click for more info
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Postdoc Vacancy in
Autonomy and Cooperation
of Zero-Emission Autonomous Vessels
Click for more info
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PhD Position Vacancy in
Safe control and coordination
of inland waterway systems
Click for more info
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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]
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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.
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Spotlight publication
| | Survey on autonomous surface vessels: Part I - A new detailed definition of autonomy levels |
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| | "Autonomous Surface Vessels (ASVs) have been involved in
numerous projects since 1990. Many ASV projects have been successfully realized, and as many are still under development. Together with the development of those new autonomous vessels, the research on classification about ASVs becomes a hot topic. The classifications provides clarity to researchers, designers, shipbuilders, equipment manufac..." [More...] |
| M. Schiaretti, L. Chen, R.R. Negenborn. Survey on autonomous surface vessels: Part I - A new detailed definition of autonomy levels. In Proceedings of the 8th International Conference on Computational Logistics (ICCL 2017), Southampton, UK, pp. 219-233, October 2017.  
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| Publications: [Recent]
[All]
[In pictures]
[Control & Coordination]
[Transport Logistics]
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Recently added publications
Z. He, C. Liu, X. Chu, R.R. Negenborn, Q. Wu. Dynamic anti-collision A-star algorithm for multi-ship encounter situations. Applied Ocean Research, 2021.
| W. Guo, B. Atasoy, R.R. Negenborn. Global synchromodal shipment matching problem with dynamic and stochastic travel times: A reinforcement learning approach. Annals of Operations Research, 2021.
| J. Los, F. Schulte, M.T.J. Spaan, R.R. Negenborn. Strategic bidding in decentralized collaborative vehicle routing. Accepted for the 8th International Conference on Dynamics in Logistics (LDIC 2022), Bremen, Germany, February 2022.
| J. Los, F. Schulte, M.T.J. Spaan, R.R. Negenborn. An auction-based multi-agent system for the pickup and delivery problem with autonomous vehicles and alternative vocations. Accepted for the 8th International Conference on Dynamics in Logistics (LDIC 2022), Bremen, Germany, February 2022.
| Y. Zhang, B. Atasoy, R.R. Negenborn. Preference-based multi-objective optimization for synchromodal transport. Transportation Research Record, 2021. Open access. 
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[More...]
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| Infographics
How will autonomous ships work?
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| Books
  
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Research in Sketches
[More...]
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Active topic cloud (past 3 years)
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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
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