Prof.dr. R.R. (Rudy) Negenborn
Prof.dr. R.R. (Rudy) Negenborn
Profile
Latest news
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Expertise
Currently, prof.dr. Negenborn's focus is on (real-time/operational) control for improving the coordination inside and among transport hubs.
In addition, he has extensive experience in control of water infrastructures and smart grid energy systems.
Projects
Click here for the full list of projects I'm involved in.
Biography
Prof.dr. Rudy Negenborn is full professor "Multi-Machine Operations & Logistics" at TU Delft within the Department of Marine and Transport Technology, 3mE, TU Delft. His more fundamental research interests are in the areas of distributed control, multi-agent systems, model predictive control, and optimization. He applies the developed theories to address control problems in large-scale transportation and logistic systems.
Rudy Negenborn received the MSc degree in computer science from Utrecht University in 2003, and the PhD degree from the Delft Center for Systems and Control of Delft University of Technology in 2007. The research of his PhD project involved multi-agent model predictive control with applications to transport networks in general and power networks in particular. After finishing his PhD project, Rudy was appointed as post-doctoral researcher in Delft, at the same center for systems and control, performing research on control of large-scale water networks. In addition, he edited the book Intelligent Infrastructures, Distributed Model Predictive Control Made Easy (2014), and Transport Of Water versus Transport Over Water (2015), and obtained an NWO/STW VENI grant and several other research grants from 2010 onwards.
Publications
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2024
Optimal chartering decisions for vessel fleet to support offshore wind farm maintenance operations
Mingxin Li / Bas Bijvoet / Kangjie Wu / Xiaoli Jiang / Rudy R. Negenborn
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2023
A closed-loop maintenance strategy for offshore wind farms
Incorporating dynamic wind farm states and uncertainty-awareness in decision-making
Mingxin Li / Xiaoli Jiang / James Carroll / Rudy R. Negenborn -
2023
A learning-based co-planning method with truck and container routing for improved barge departure times
Rie B. Larsen / Rudy R. Negenborn / Bilge Atasoy
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2023
A robust optimization approach for platooning of automated ground vehicles in port hinterland corridors
Nadia Pourmohammad-Zia / Frederik Schulte / Rosa G. González-Ramírez / Stefan Voß / Rudy R. Negenborn
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2023
Collision avoidance of autonomous ships in inland waterways
A survey and open research problems
Hoang Anh Tran / Tor Arne Johansen / Rudy R. Negenborn -
Media
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2021-11-27
NOVIMOVE - behavioral models for improving the transport over water
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2020-08-31
Robot boats leave autonomous cars in their wake
Appeared in: International Shipping News
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2020-02-24
Europees onderzoeksprogramma: meer lading naar Bazel mogelijk
Appeared in: Binnenvaartkrant
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2019-03-18
TU Delft werkt aan zelf varende schepen
Appeared in: Omroepwest.nl
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2017-03-13
Alle hens aan dek. De opkomst van de autonome scheepvaart
Appeared in: De Ingenieur, jaargang 129, nr. 3 (2017)
Ancillary activities
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2022-11-01 - 2024-11-01
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2022-11-01 - 2024-11-01