Papers
10
Total Citations
95
H-Index
5
About
Nicolas Delanoue is a researcher whose work bridges the gap between rigorous mathematical methods and practical robotics, with a particular focus on guaranteed algorithms and innovative robot design. His primary research areas include interval analysis, topological analysis, and the application of graph theory to robotics, especially in the domains of Simultaneous Localization and Mapping (SLAM) and bipedal locomotion. Delanoue’s major contribution is the development of "Guaranteed SLAM—An interval approach," his most cited work with 31 citations, which provides a mathematically sound method for robot localization and mapping by using interval analysis to ensure provable bounds on uncertainty. This work is complemented by his foundational thesis, "Algorithmes numériques pour l'analyse topologique," which combines interval computation and graph theory for qualitative analysis and stability studies of dynamical systems. In the field of humanoid robotics, Delanoue has made notable contributions to leg design, as seen in his 2020 paper on biped locomotion with mono-articular and bi-articular linear actuation (18 citations), and his preliminary survey on backdrivable linear actuators (13 citations). His work on the Cart-O-matic project further demonstrates his expertise in autonomous, collaborative multi-robot systems. With a career spanning over a decade, Delanoue’s research is characterized by a commitment to guaranteed, verifiable results, making his work highly influential for students and researchers seeking robust solutions in robotics and control.
Research Focus
Key Achievements
Top Papers
- 1Guaranteed SLAM—An interval approach31 citations · 2017
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- 3Preliminary Survey of Backdrivable Linear Actuators for Humanoid Robots13 citations · 2018
- 4Informatics in Control, Automation and Robotics13 citations · 2008
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- 9Guaranteed detection of the singularities of 3R robotic manipulators2 citations · 2016
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