Rudy Negenborn Full Professor, Head of Section Latest news: RT @dingenasch: We are hiring! PhD position on Segregation of Multi-component Particle mixtures now open -- NWO Industrial Dense Granular… PostDoc vacancy "Fleet management with autonomous navigation for transportation and logistics over water" now open… https://t.co/bSEieynfrm[More on Twitter] Main Publications Team & Themes Education Resume Personal

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 contact form: Click here 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 Delfia-1 Star Delfia-1 [in action] Delfia-Amphibian SeaBax-Inside SeaBax-Outside Tito Neri Quality Care Hybrid Tug Friend of the Family: WUT-1 (Wuhan University of Technology) Friend of the Family: Vosper Perkasa (Wuhan University of Technology) 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:    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] Spotlight publication Distributed model predictive control for vessel train formations of cooperative multi-vessel systems "Recently, the cooperative control of multiple vessels has been gaining increasing attention because of the potential robustness, reliability and efficiency of multi-agent systems. In this paper, we propose the concept of Cooperative Multi-Vessel Systems (CMVSs) consisting of multiple coordinated autonomous vessels. In particular, we focus on the cooperative behavior between vessels in a CMVS. We n..." [More...] L. Chen, J.J. Hopman, R.R. Negenborn. Distributed model predictive control for vessel train formations of cooperative multi-vessel systems. Transportation Research Part C: Emerging Technologies, vol. 92, pp. 101-118, July 2018.    Publications: [Recent] [All] [In pictures] [Control & Coordination] [Transport Logistics] Recently added publications Y. Niu, F. Schulte, R.R. Negenborn. Human aspects in collaborative order picking – Letting robotic agents learn about human discomfort. Accepted for the International Conference on Industry 4.0 and Smart Manufacturing 2020 (ISM 2020), Linz, Austria, November 2020.    B. van Riessen, J. Mulder, R.R. Negenborn, R. Dekker. Revenue management with two fare classes in synchromodal container transportation. Accepted for publication in Flexible Services and Manufacturing, 2020.    J. Ye, V. Reppa, M. Godjevac, R.R. Negenborn. Construction mode detection for autonomous offshore heavy lift operations. Accepted for publication in Safety Science, 2020.    A. Haseltalab, V. Garofano, M. Raheel Afzal, N. Faggioni, S. Li, J. Liu, F. Ma, M. Martelli, Y. Singh, P. Slaets, X. You, R.R. Negenborn. The Collaborative Autonomous Shipping Experiment (CASE): Motivations, theory, infrastructure, and experimental challenges. Accepted for the 2020 International Ship Control Systems Symposium (iSCSS 2020), Delft, The Netherlands, October 2020.    A. Haseltalab, L. van Biert, B.T.W. Mestemaker, R.R. Negenborn. Energy management for hybrid power generation using solid oxide fuel cell. Accepted for the 2020 International Ship Control Systems Symposium (iSCSS 2020), Delft, The Netherlands, October 2020.    [More...] 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" Promoting Green Transport and Mobility: "AVATAR" 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...] 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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