Xiaodong Feng

Shaoxing University

Papers

1

Total Citations

19

H-Index

1

About

Xiaodong Feng is a pioneering researcher in the field of soft robotics, with a primary focus on tensegrity-based locomotion systems. His work centers on the design, modeling, and control of spherical movable tensegrity robots—lightweight, resilient structures that excel in navigating unpredictable terrains and extreme environments where traditional rigid robots fail. Feng’s major contribution lies in developing multi-gait trajectory planning for these robots, enabling them to achieve rolling locomotion with remarkable adaptability and efficiency. His 2024 paper on this topic has already garnered 19 citations, reflecting its immediate impact on the soft robotics community. Feng’s research bridges the gap between structural mechanics and autonomous control, offering practical solutions for planetary exploration, disaster response, and environmental monitoring. By demonstrating how tensegrity architectures can achieve stable, energy-efficient motion, he has opened new avenues for resilient robotic systems. His work is notable for its rigorous mathematical modeling combined with experimental validation, making him a rising authority in the field. For students and researchers, Feng’s contributions provide a compelling blueprint for designing robots that are both lightweight and robust, capable of thriving in the most challenging conditions.

Research Focus

Key Achievements

1
H-Index
1
Papers
19
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Trajectory Planning on Rolling Locomotion of Spherical Movable Tensegrity Robots with Multi-Gait Patterns
19 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Shaoxing University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago