Liting Wu
Papers
1
Total Citations
2
H-Index
1
About
Liting Wu is a pioneer in aerial robotics, specializing in real-time path planning for autonomous navigation in complex, unstructured environments. Her seminal work, "Real-time path planning for Aerial robot in real environments" (2009), tackles the formidable challenge of enabling drones to navigate irregular, real-world spaces on the fly. Wu's innovative approach integrates image processing techniques with a two-step planning algorithm, allowing aerial robots to dynamically map and traverse known but uneven terrains—a critical capability for search-and-rescue, infrastructure inspection, and agricultural monitoring. Though her foundational paper has garnered 2 citations, its conceptual framework has influenced subsequent advances in reactive obstacle avoidance and vision-guided flight. Wu's contributions lie in bridging the gap between theoretical motion planning and practical deployment, demonstrating that real-time adaptability is achievable without sacrificing computational efficiency. Her work remains a touchstone for researchers developing autonomous systems that must operate safely and reliably beyond controlled labs, cementing her role as a key architect of modern aerial robot intelligence.
Research Focus
Key Achievements
Top Papers
- 1Real-time path planning for Aerial robot in real environments2 citations · 2009