Rudy R. Negenborn
Papers
10
Total Citations
291
H-Index
9
About
Rudy R. Negenborn is a prominent researcher whose work spans multi-robot systems, autonomous maritime vessels, and distributed control theory — fields where his contributions have significantly advanced both theoretical foundations and practical applications. His early work on robot localization and Kalman filters (72 citations) established a strong methodological foundation, while his subsequent research has pushed the boundaries of multi-agent coordination. Negenborn is particularly recognized for developing distributed nonlinear model predictive control (NMPC) frameworks that enable multiple robots and autonomous vessels to coordinate efficiently without relying on centralized computation, even under challenging communication conditions such as packet loss and delays. His 2022 paper on distributed nonlinear trajectory optimization (53 citations) and his work on coordinating multiple vessels via distributed NMPC (36 citations) exemplify this thread of innovation. Beyond robotics, Negenborn has explored human-robot collaboration in warehouse settings and energy-efficient routing in manufacturing cells, reflecting a broad commitment to real-world applicability. His review of autonomous multi-vessel systems further underscores his influence in maritime autonomy. Collectively, his body of work, accumulating hundreds of citations, has made him a defining voice in intelligent transportation and autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1Robot Localization and Kalman Filters72 citations · 2003
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- 5Review of floating object manipulation by autonomous multi-vessel systems26 citations · 2022
- 6Path Planning for Autonomous Inland Vessels Using A*BG18 citations · 2016
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- 10Routing of a Multi-Robot System Using a Time-Space Network Model3 citations · 2019