Xinge Gao
Papers
1
Total Citations
13
H-Index
1
About
Dr. Xinge Gao is a robotics researcher whose work centers on intelligent path planning and optimization algorithms for specialized robotic systems. His most-cited contribution, "Improved particle swarm optimization approach to path planning of amphibious mouse robot" (2011, 13 citations), introduces a novel approach that adapts the particle swarm optimization (PSO) algorithm to address the unique challenges of amphibious locomotion. Unlike conventional path planning methods that prioritize path length alone, Dr. Gao’s work incorporates critical environmental factors—such as the influence of liquid dynamics—enabling safer and more efficient navigation for robots operating across both terrestrial and aquatic terrains. This contribution has been recognized for its practical relevance in the emerging field of amphibious robotics, where robust optimization is essential. While his citation count reflects a focused impact, Dr. Gao’s work demonstrates a thoughtful integration of bio-inspired design and computational intelligence, offering valuable insights for researchers developing autonomous systems for complex, multi-environment missions. His research continues to inspire advancements in adaptive robotics and swarm-based optimization.
Research Focus
Key Achievements
Top Papers
- 1