Yaoning Lian
Papers
2
Total Citations
54
H-Index
2
About
Yaoning Lian is a researcher whose work centers on advancing multi-robot coverage path planning (MCPP), with a particular focus on Dubins robots operating in both known and unknown environments. His most cited paper, "Exact and Heuristic Multi-Robot Dubins Coverage Path Planning for Known Environments" (2023), has garnered 44 citations and addresses the critical challenge of coordinating multiple non-holonomic robots for tasks such as aerial monitoring, marine exploration, and search and rescue. By integrating exact and heuristic algorithms, Lian provides practical solutions that balance computational efficiency with path optimality. In a complementary work, "SP2E: Online Spiral Coverage with Proactive Prevention Extremum for Unknown Environments" (2023, 10 citations), he introduces an innovative online spiral coverage strategy designed to prevent extremal conditions in uncharted terrains. This work demonstrates his ability to tackle real-time decision-making under uncertainty, a key requirement for autonomous field operations. Lian’s contributions are notable for bridging theoretical rigor with application-driven design, offering scalable frameworks that enhance the autonomy and reliability of multi-robot systems. His research is particularly impactful for students and engineers seeking to deploy robust coverage solutions in dynamic, real-world settings.
Research Focus
Key Achievements
Top Papers
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- 2