Rudy R. Negenborn

Rudy R. Negenborn

Technische Universiteit Delft

H-index: 52

Europe-Netherlands

About Rudy R. Negenborn

Rudy R. Negenborn, With an exceptional h-index of 52 and a recent h-index of 41 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of Multi-Machine Operations, Smart Shipping, Smart Logistics, Synchromodal Transport, Distributed Control.

His recent articles reflect a diverse array of research interests and contributions to the field:

Model Predictive Trajectory Optimization and Control for Autonomous Surface Vessels Considering Traffic Rules

A Multiple Sensor Fault Diagnosis Scheme for Autonomous Surface Vessels

Optimal chartering decisions for vessel fleet to support offshore wind farm maintenance operations

Distributed MPC for autonomous ships on inland waterways with collaborative collision avoidance

Trickle-down strategies: integrating simulations with control loops of autonomous vessels on lab scale

A robust optimization approach for platooning of automated ground vehicles in port hinterland corridors

Smart Shipping and Logistics: Perspectives & Challenges.

Measuring Future Performance of Fictitiously Merged Motor Vehicle Manufacturers with a Composite Indicator from Economic and Environmental Perspectives

Rudy R. Negenborn Information

University

Position

Full professor

Citations(all)

10187

Citations(since 2020)

6524

Cited By

5671

hIndex(all)

52

hIndex(since 2020)

41

i10Index(all)

191

i10Index(since 2020)

151

Email

University Profile Page

Technische Universiteit Delft

Google Scholar

View Google Scholar Profile

Rudy R. Negenborn Skills & Research Interests

Multi-Machine Operations

Smart Shipping

Smart Logistics

Synchromodal Transport

Distributed Control

Top articles of Rudy R. Negenborn

Title

Journal

Author(s)

Publication Date

Model Predictive Trajectory Optimization and Control for Autonomous Surface Vessels Considering Traffic Rules

IEEE Transactions on Intelligent Transportation Systems

Anastasios Tsolakis

Rudy R Negenborn

Vasso Reppa

Laura Ferranti

2024/2/13

A Multiple Sensor Fault Diagnosis Scheme for Autonomous Surface Vessels

A Dhyani

RR Negenborn

V Reppa

2024

Optimal chartering decisions for vessel fleet to support offshore wind farm maintenance operations

Ocean Engineering

Mingxin Li

Bas Bijvoet

Kangjie Wu

Xiaoli Jiang

Rudy R Negenborn

2024/4/15

Distributed MPC for autonomous ships on inland waterways with collaborative collision avoidance

arXiv preprint arXiv:2403.00554

Hoang Anh Tran

Tor Arne Johansen

Rudy R Negenborn

2024/3/1

Trickle-down strategies: integrating simulations with control loops of autonomous vessels on lab scale

Journal of Physics: Conference Series

Fedor Baart

Max Willem van Gijn

Bart Boogmans

Migena Zagonjolli

Rob Zuidwijk

...

2023/10/1

A robust optimization approach for platooning of automated ground vehicles in port hinterland corridors

Computers & Industrial Engineering

Nadia Pourmohammad-Zia

Frederik Schulte

Rosa G González-Ramírez

Stefan Voß

Rudy R Negenborn

2023/3/1

Smart Shipping and Logistics: Perspectives & Challenges.

Rudy R Negenborn

2023

Measuring Future Performance of Fictitiously Merged Motor Vehicle Manufacturers with a Composite Indicator from Economic and Environmental Perspectives

Delft University of Technology

Jonas Patist

Rudy Negenborn

Wouter Beelaerts van Blokland

2023/6/27

Collision avoidance of autonomous ships in inland waterways–A survey and open research problems

Journal of Physics: Conference Series

Hoang Anh Tran

Tor Arne Johansen

Rudy R Negenborn

2023/10/1

Paving the Way Towards Zero-Emission and Robust Inland Shipping

Modelling and Optimisation of Ship Energy Systems 2023

Alex Kirichek

J Pruyn

B Atasoy

RR Negenborn

Rob Zuidwijk

...

2023

Review of floating object manipulation by autonomous multi-vessel systems

Zhe Du

Rudy R Negenborn

Vasso Reppa

2023/1/1

Cost-driven multi-echelon inventory optimization for offshore wind farms

Mingxin Li

Xiaoli Jiang

Rudy R Negenborn

2023/6/19

Follow-the-Leader Guidance, Navigation, and Control of Surface Vessels: Design and Experiments

IEEE Journal of Oceanic Engineering

Benedetto Piaggio

Vittorio Garofano

Silvia Donnarumma

Angelo Alessandri

Rudy Negenborn

...

2023/9/15

A learning-based co-planning method with truck and container routing for improved barge departure times

Annals of Operations Research

Rie B Larsen

Rudy R Negenborn

Bilge Atasoy

2023/12/12

Assessing the Role of Mobile Terminals to Reduce Container Barge Inefficiency in Seaports

Transportation Research Procedia

Peter Shobayo

Adrien Nicolet

Edwin van Hassel

Bilge Atasoy

Thierry Vanelslander

...

2023/1/1

Flexible time–space network formulation and hybrid metaheuristic for conflict-free and energy-efficient path planning of automated guided vehicles

Journal of Cleaner Production

Jianbin Xin

Liuqian Wei

Andrea D’Ariano

Fangfang Zhang

Rudy Negenborn

2023/4/20

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

2023/9/1

Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control

IEEE Transactions on Neural Networks and Learning Systems

Bin Du

Wei Xie

Yang Li

Qisong Yang

Weidong Zhang

...

2023/11/2

A collision avoidance algorithm with intention prediction for inland waterways ships

IFAC-PapersOnLine

Hoang Anh Tran

Tor Arne Johansen

Rudy R Negenborn

2023/1/1

Model Predictive Path Planning of AGVs: Mixed Logical Dynamical Formulation and Distributed Coordination

IEEE Transactions on Intelligent Transportation Systems, DOI:10.1109/TITS.2023.3254147

Jianbin Xin

Xuwen Wu

Andrea D’Ariano

Fangfang Zhang

Rudy Negenborn

2023/3

See List of Professors in Rudy R. Negenborn University(Technische Universiteit Delft)