Rudy Negenborn Full Professor, Head of Section Latest news: "Collaborative Control for Autonomous Ships in Multi-Vessel Environments" - PhD Position now open for application: https://t.co/aTbYYqqZse "Control and condition monitoring for hydrogen-based vessels"-- PhD position open for application,… https://t.co/2AKNPcV4Lw[More on Twitter] Main Publications Team & Themes Education Resume

Transport Engineering and Logistics Dept. of Maritime and Transport Technology Delft University of Technology Mekelweg 2, 2628 CD  Delft The Netherlands Room B-3-300 How to reach Faculty 3mE How to reach my office tel: +31 (0) 15 27 86718 fax: +31 (0) 15 27 81397 e-mail: r.r.negenborn@tudelft.nl secretary: Patty Bokop-van der Stap tel: +31 (0)15 27 86529 LinkedIn Twitter Autonomous Vessel Family Interacting Vessels 10x Delfia-1 Star Delfia-Amphibian SeaBax-Inside SeaBax-Outside Tito Neri Quality Care Friends of the Family GeoSurveyor X by GEOxyz (ISHY partner) (Photo courtesy GEOxyz) Vera Cruz by Vera Cruz Shipping (ISHY partner) WUT-1 by Wuhan University of Technology Natalia by Hybrid Marine (ISHY partner) Hybrid Tug by Damen TU Delft Electric Autonomous Vehicle (Concept by L. Braam) NOVIMOVE News 2020 Computational Logistics 2015 ICCL'15 - International Conference on Computational Logistics (ICCL) 2015 Delft, The Netherlands 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 Anticipating the Massive introduction of Sensing, Computation, and Communication Technologies       Vacancies:     PhD postion on Collaborative Control for Autonomous Ships in Multi-Vessel Environments Click for more info     Assistant/Associate Professor of Interconnected Systems for Smart Industry Click for more info 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 Multi-level predictive control for energy management of hybrid ships in the presence of uncertainty and environmental disturbances "In this paper, a control methodology is proposed to address the problem of energy management in hybrid ships in the presence of disturbances applied by the surrounding environment and taking the uncertainties within the ship model into account. Nonlinear Robust Tube-Based Model Predictive Control (NRTB-MPC) is adopted to control the ship speed and calculate the demanded energy for propelling the s..." [More...] Multi-level predictive control for energy management of hybrid ships in the presence of uncertainty and environmental disturbances. A. Haseltalab, R.R. Negenborn, G. Lodewijks. In Proceedings of the 14th IFAC Symposium on Control in Transportation Systems (IFAC CTS 2016), Istanbul, Turkey, pp. 90-95, May 2016.    Infographics How will autonomous ships work? Books        Research in Sketches [More...] 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" HORIZON EUROPE CL5-2021-D5-01-13 -- DT4GS: Open Collaboration & Digital Twin Infrastructure for Green Smart Shipping H2020 European training and research network on Autonomous Barges for Smart Inland Shipping REACT-EU Op-Zuid Project: Fieldlab Autonomous Sailing Technology (FAST) 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 [More...]      Towards guaranteed port accessibility [More...] Innovational Research Incentives Scheme 2010 VENI Grant [More...] Position paper Maritime Ambitions in the area of AI in The Netherlands 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 Opportunities for Real-Time Coordination Automated MTS and waterborne AGVs as solution?

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