Papers

1

Total Citations

41

H-Index

1

About

Xiaosu Yi is a researcher specializing in robotics and autonomous vehicle control, with a particular focus on the path tracking and motion control of four-wheel independently driven skid steer robotic vehicles (IDSSRVs). His major contribution lies in developing a cascaded non-singular terminal sliding mode (NTSM) and PID control method, which effectively addresses the complex path tracking challenges posed by the limited sensor and processing capabilities of small, low-power IDSSRVs. This work, published in 2022, has already garnered 41 citations, underscoring its relevance and impact in the field of mobile robotics. Yi’s research bridges the gap between advanced control theory and practical, resource-constrained robotic platforms, enabling more reliable autonomous navigation in real-world applications. His achievements highlight a commitment to solving engineering constraints through innovative control strategies, making his work a valuable reference for students and researchers working on skid-steer vehicles, field robotics, or low-cost autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
41
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
Path Tracking of a Four-Wheel Independently Driven Skid Steer Robotic Vehicle Through a Cascaded NTSM-PID Control Method
41 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Institute of Optics and Electronics, Chinese Academy of Sciences

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago