Papers
1
Total Citations
8
H-Index
1
About
Linan Jiao is a researcher in autonomous robotics, with a primary focus on multi-robot systems, coverage path planning, and environmental exploration. Their most cited work introduces a visibility-based decomposition algorithm for multi-robot boundary coverage in unknown environments, leveraging a graph data structure to ensure complete and efficient coverage. This contribution addresses a fundamental challenge in autonomous area coverage—coordinating multiple robots to systematically cover boundaries without prior knowledge of the environment. With 8 citations, this paper has informed subsequent research in robotic exploration and coverage algorithms. Jiao’s work bridges theoretical decomposition methods with practical multi-robot coordination, offering a scalable approach to tasks like environmental monitoring, search-and-rescue, and industrial inspection. Their research is particularly notable for integrating visibility-based reasoning with incremental coverage strategies, enabling robots to adapt to dynamic surroundings. For students and researchers in robotics, Jiao’s contributions provide a foundational framework for understanding how graph-based representations can enhance multi-robot autonomy and coverage completeness in complex, unknown spaces.
Research Focus
Key Achievements
Top Papers
- 1A Visibility-Based Algorithm for Multi-Robot Boundary Coverage8 citations · 2008