Laurent Denarie

Centre National de la Recherche Scientifique

Papers

Total Citations

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About

Laurent Denarie is a researcher at the intersection of robotics and computational biology. His work focuses on algorithmic design and motion planning, particularly through sampling-based methods that optimize both the physical configuration and movement of robotic systems. His most cited paper, "Simultaneous system design and path planning: A sampling-based algorithm" (2018, 11 citations), introduces a novel approach to solving the simultaneous design and path-planning problem, enabling the selection of optimal body features for mobile systems navigating between configurations. This work has significant implications for efficient robot design and autonomous navigation. Denarie also bridges robotics and bioinformatics, as demonstrated in his second most-cited paper, "Segmenting Proteins into Tripeptides to Enhance Conformational Sampling with Monte Carlo Methods" (2018, 10 citations). Here, he applies stochastic algorithms and robotic-inspired techniques to improve protein conformational sampling, offering new tools for structural biology. His 2020 paper, "Combining System Design and Path Planning," further consolidates his contributions to integrated design-motion frameworks. With a growing citation record, Denarie’s interdisciplinary approach advances both autonomous systems and molecular modeling, making him a notable figure in algorithmic robotics and computational science.