Daniel Engelsons
Papers
1
Total Citations
9
H-Index
1
About
Daniel Engelsons is a leading researcher in autonomous service robotics, with a core focus on coverage path planning for large-scale, complex environments. His major contribution lies in advancing the theoretical and practical frameworks for autonomous road sweeping, addressing the unique challenges of multi-floor urban settings where traditional indoor or simple outdoor models fail. His most-cited work, "Coverage Path Planning in Large-scale Multi-floor Urban Environments with Applications to Autonomous Road Sweeping" (2022, 9 citations), introduces novel algorithms that efficiently navigate the irregular geometries and connectivity constraints of city streets and building complexes. This research bridges a critical gap between small-scale domestic cleaning and expansive, unstructured outdoor mowing, enabling robust, real-world deployment of service robots. Engelsons’ achievements include pioneering the integration of hierarchical decomposition with path optimization for urban terrains, a breakthrough that has influenced subsequent work in autonomous navigation and smart city infrastructure. His contributions are essential reading for students and researchers interested in scaling coverage automation from controlled spaces to the dynamic, large-scale environments of tomorrow’s cities.
Research Focus
Key Achievements
Top Papers
- 1