Xuping Wang
Papers
1
Total Citations
10
H-Index
1
About
Xuping Wang is a robotics researcher specializing in the design and locomotion control of mobile robots for complex, unstructured environments. Their work focuses on enhancing the obstacle-surmounting capabilities of tracked and multi-limbed robotic systems, particularly for applications in search and rescue, exploration, and industrial inspection. Wang’s most cited paper, "Simulation and experiment on obstacle-surmounting performance of four swing arms and six tracked robot under unilateral step environment" (2018, 10 citations), demonstrates a rigorous approach combining simulation and physical experimentation to optimize robot mobility over uneven terrain. This study provides critical insights into the mechanics of swing-arm configurations and tracked locomotion, enabling robots to navigate single-step obstacles with improved stability and efficiency. By bridging theoretical modeling with real-world validation, Wang’s contributions advance the practical deployment of resilient robots in challenging settings. Their work is foundational for engineers developing next-generation autonomous systems capable of traversing debris, stairs, and other vertical barriers, marking a significant step toward more versatile and reliable field robotics.
Research Focus
Key Achievements
Top Papers
- 1