Nicolas Mandel

Papers

Total Citations

H-Index

About

Nicolas Mandel is a researcher specializing in embedded systems and autonomous navigation for unmanned aerial vehicles (UAVs), with a particular focus on remote sensing applications. His work addresses the critical challenge of deploying sophisticated algorithms onboard UAVs despite severe Size, Weight, Power, and Computational (SWaP-C) constraints. In his most-cited paper, "A Method for Evaluating and Selecting Suitable Hardware for Deployment of Embedded System on UAVs" (2020, 12 citations), Mandel developed a systematic framework for matching hardware to algorithmic requirements, enabling more efficient and practical UAV-based remote sensing. He further advanced the field with "Towards Simulating Semantic Onboard UAV Navigation" (2020, 5 citations), where he explored integrating semantic information—representations more intuitive for humans—into robotic navigation to improve robustness and task execution. This work bridges the gap between human-understandable concepts and autonomous decision-making. Mandel’s contributions are particularly valuable for researchers and engineers developing real-world UAV systems, offering practical methodologies that balance computational demands with operational constraints. His research continues to shape how embedded systems are deployed in aerial robotics.