Yannick Stauffer

FHNW University of Applied Sciences and Arts

Papers

Total Citations

H-Index

About

Yannick Stauffer is a robotics researcher whose work centers on path planning and autonomous navigation in dynamic environments. His primary contributions lie in developing robust, bio-inspired algorithms that enable robots to adapt to real-time changes and obstacles. Stauffer’s most cited work, "A novel backup path planning approach with ACO" (2017), introduces an innovative method that leverages Ant Colony Optimization (ACO) to generate reliable alternative routes when primary paths are blocked. This approach addresses a critical challenge in mobile robotics: ensuring continuous, safe operation even when environmental conditions shift unexpectedly. By integrating backup path generation with swarm intelligence, Stauffer’s research enhances the resilience and autonomy of robotic systems. His work has garnered 7 citations, reflecting its relevance to researchers tackling adaptive navigation. Stauffer’s contributions are particularly valuable for applications in search-and-rescue, warehouse automation, and autonomous vehicles, where real-time obstacle avoidance and fail-safe planning are essential. Through his focus on backup strategies, he has advanced the practical reliability of path planning, offering a pragmatic solution to one of robotics’ enduring challenges.