Quentin Serdel
Papers
5
Total Citations
17
H-Index
3
About
Quentin Serdel is a robotics researcher specializing in autonomous navigation for ground robots operating in unstructured, hazardous environments—from extraterrestrial surfaces to disaster zones. His work centers on integrating semantic understanding with real-time mapping and path planning to enable safer, more intelligent robot behavior without human supervision. Serdel’s major contributions include the development of continuous online semantic implicit representations, which allow robots to dynamically interpret and navigate complex terrains, and the SMaNa architecture, a holistic framework for semantic mapping and navigation. His most cited paper, “Continuous Online Semantic Implicit Representation for Autonomous Ground Robot Navigation in Unstructured Environments” (2024, 5 citations), advances real-time environmental understanding. Other notable works, such as “Smooth Path Planning Using a Gaussian Process Regression Map” (2024, 3 citations) and “Online Localisation and Colored Mesh Reconstruction Architecture” (2022, 3 citations), demonstrate his focus on coupling robust perception with efficient planning. Serdel’s research has garnered early recognition, with cumulative citations reflecting the growing relevance of his approaches to field robotics and autonomous exploration.
Research Focus
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Top Papers
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