Yanju Liang

About

Dr. Yanju Liang is a leading researcher in autonomous navigation and robotic path planning, with a focused expertise in probabilistic algorithms for complex environments. Her most cited work, "Leveraging RRT*: Probabilistically Interpreted Mechanisms Enhanced With P-HOPE and FLEX-OPT for Complex Path Planning" (2025, 3 citations), addresses a critical challenge in mobile robotics: improving the efficiency of the widely used Rapidly-exploring Random Tree* (RRT*) algorithm. Dr. Liang’s major contribution lies in developing novel target bias strategies—specifically P-HOPE and FLEX-OPT—that enhance search convergence while preserving the algorithm’s probabilistic completeness. This work provides a theoretically grounded framework for faster, more reliable path planning in cluttered or dynamic settings. Her research bridges the gap between theoretical guarantees and practical performance, offering tangible improvements for autonomous systems. With her innovative approach to algorithm enhancement, Dr. Liang is shaping the next generation of intelligent navigation solutions, making her a rising authority in robotic motion planning and artificial intelligence.

Research Focus

Key Achievements

Top Papers

1. 1
   Leveraging RRT^*: Probabilistically Interpreted Mechanisms Enhanced With P-HOPE and FLEX-OPT for Complex Path Planning

   3 citations · 2025

Key Collaborators

Contact & Links