Xiaoqiang Dai

Jiangsu University of Science and Technology

Papers

2

Total Citations

7

H-Index

2

About

Xiaoqiang Dai is an emerging researcher specializing in underwater and amphibious robotics, with a particular focus on autonomous navigation, teleoperation systems, and intelligent control algorithms for robots operating in complex aquatic and terrestrial environments. His work addresses some of the most challenging frontier problems in marine robotics, including the development of reliable local path planning methods for amphibious robots capable of seamlessly transitioning between water and land. His 2025 study introduced an improved Dynamic Window Approach that overcomes critical limitations in existing navigation algorithms, such as unreachable target scenarios in unstructured environments. Complementing this, his research on teleoperated underwater vehicles equipped with soft manipulators demonstrates a thoughtful approach to preserving delicate marine organisms and cultural artifacts during subsea operations — a problem of both scientific and heritage significance. Though early in his citation trajectory, with his most-cited works accumulating citations within their first year of publication, Dai's contributions reflect a growing relevance in the robotics community. His interdisciplinary work bridging control theory, marine engineering, and biomimetic design positions him as a promising voice in the next generation of autonomous underwater systems research.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
The Local Path Planning Algorithm for Amphibious Robots Based on an Improved Dynamic Window Approach
4 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Jiangsu University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago