About

Gene Eu Jan is a prominent researcher specializing in autonomous robotics, path planning, and multi-robot systems, with a body of work that has significantly advanced intelligent navigation algorithms and human-autonomy collaboration. His 2013 paper introducing an O(n log n) shortest path algorithm based on Delaunay triangulation—garnering 49 citations—remains his most influential contribution, offering a computationally elegant solution to obstacle-laden navigation in Euclidean geometry. Jan's research spans foundational algorithmic work to cutting-edge applied robotics, including multi-robot task allocation using convex optimization (36 citations) and graph-based multi-waypoint navigation strategies (25 citations). His explorations into Human-Autonomy Teaming (HAT) represent a forward-thinking dimension of his scholarship, integrating human oversight into autonomous robot decision-making for hazardous and dynamic environments. Jan has also made notable contributions in bio-inspired computing, applying ant colony optimization for variable-speed robot navigation, and particle swarm optimization for multi-objective robot routing. From early maze-routing approaches for mobile robots (2004) to recent safety-aware navigation frameworks, his career reflects a consistent commitment to bridging theoretical elegance with practical robotic deployment, making his work invaluable reading for researchers in robotics, AI planning, and human-robot interaction.

Research Focus

Key Achievements

9
H-Index
19
Papers
235
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
An $\bm{O(n\log n)}$ Shortest Path Algorithm Based on Delaunay Triangulation
49 citations · 2013
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: National Taipei University, Tainan National University of the Arts, National Taiwan University of Arts, National Taiwan Ocean University, Asia University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago