Papers
6
Total Citations
63
H-Index
4
About
Pingxia Zhang is a leading researcher in robotics, specializing in wall-climbing robots, multi-axle steering systems, and autonomous path planning. Her work has significantly advanced the capabilities of mobile robots, particularly in navigating complex environments. Zhang’s most cited paper, a 2024 review on wall-climbing robot techniques (27 citations), systematically explores innovations in curved-surface navigation and wall-to-wall transitions, establishing a foundational resource for the field. She has also made notable contributions to path planning, developing a Hybrid A* algorithm that optimizes for safety, smoothness, and efficiency in nonholonomic robots (15 citations). Her research on flexible steering control for multi-axle robots (11 citations) addresses critical challenges in maneuverability, proposing novel control schemes to enhance performance. Zhang’s recent work includes the CREST robot, a target-point-based wall-climbing platform capable of spatial traversal and obstacle avoidance, and a magnetically driven soft robot that reduces energy consumption by eliminating external electromagnets. With a growing citation impact and a focus on practical, real-world applications, Pingxia Zhang continues to push the boundaries of robotic mobility and autonomy.
Research Focus
Key Achievements
Top Papers
- 1Review of advancements in wall climbing robot techniques27 citations · 2024
- 2A Hybrid A* Path Planning Algorithm Based on Multi-objective Constraints15 citations · 2022
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- 6A walking soft robot driven by electromagnetism inside the body2 citations · 2024