Papers
2
Total Citations
6
H-Index
2
About
Renliw Fleurmond is a researcher specializing in robotics, with a particular focus on visual servoing and coordinated manipulation using dual-arm robotic systems. His work addresses critical challenges in vision-based control, especially the problem of maintaining task execution when visual feedback is lost. In his most cited paper, "Multi-cameras Visual Servoing to Perform a Coordinated Task using a Dual Arm Robot" (2014, 4 citations), Fleurmond developed methods for synchronizing multiple camera views to enable precise, cooperative movements between two robotic arms. Building on this, his 2016 work (2 citations) introduced a novel technique for reconstructing visual features during total image loss, a significant advancement over prior approaches that could not handle moving objects or complete visual occlusion. This contribution is particularly valuable for real-world applications where sensors may be temporarily blocked or fail. While his citation counts are modest, Fleurmond’s research addresses fundamental robustness issues in robotic vision, laying groundwork for more reliable autonomous systems in manufacturing, surgery, and hazardous environments. His work represents an important step toward making coordinated robotic tasks more resilient to sensory failures.
Research Focus
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Top Papers
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