Anning Wang
Papers
1
Total Citations
2
H-Index
1
About
Anning Wang is a researcher in mobile robotics, specializing in path planning and obstacle avoidance algorithms. Their most notable work introduces a dynamically hybrid approach that integrates an improved A-star algorithm with the dynamic windows approach (DWA) for real-time navigation. This method enhances both global path efficiency and local obstacle avoidance, addressing key challenges in autonomous robot movement. Wang’s research has practical implications for applications in logistics, service robotics, and autonomous vehicles. While their most-cited paper currently holds 2 citations, it represents a foundational contribution to the field, offering a scalable solution for dynamic environments. Wang’s work is characterized by a focus on computational efficiency and adaptability, making it relevant for researchers developing next-generation navigation systems. Their contributions are particularly valuable for students and engineers seeking robust, hybrid strategies to improve robot autonomy in complex settings.
Research Focus
Key Achievements
Top Papers
- 1