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
Massive introduction of
Sensing, Computation, and Communication Technologies
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]
[ Publications: Recent]
[ 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.
How will autonomous ships work?
Research in Sketches
Active topic cloud (past 3 years)
transport over water,
control of ships
transportation networks, inter-terminal transport
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"
"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
Inter Terminal Transport at the Port of Rotterdam
Towards guaranteed port accessibility
Innovational Research Incentives
Scheme 2010 VENI
AIDA -- The Booklet
Automatic Research Positioning & Trend Identification
Journal Special Issues
Computational Transport Logistics at Work
(Special issue of Transportation Research Part E)
(Special issue of SWZ Maritime 2017/02)
(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?