Sen Wang

Imperial College London

Papers

1

Total Citations

3

H-Index

1

About

Sen Wang is a researcher specializing in autonomous systems, marine robotics, and advanced control methodologies. His work sits at the intersection of intelligent control and underwater robotics, with a particular focus on enhancing the operational capabilities of autonomous underwater vehicles (AUVs). A notable contribution is his 2023 paper, "Enhancing AUV Autonomy with Model Predictive Path Integral Control," which addresses one of the field's central challenges: developing adaptive control systems that enable AUVs to successfully navigate and complete missions in dynamic, unpredictable marine environments. By applying Model Predictive Path Integral (MPPI) control to AUV platforms, Wang's research pushes the boundaries of what these vehicles can achieve in real-world conditions, with implications for marine surveying, underwater inspection, and ocean exploration. Though his work in this area is still gaining traction in the community, with early citation counts reflecting its recent publication, the relevance of his research to critical applications in oceanography and subsea infrastructure inspection positions it for growing recognition. Wang represents an emerging voice in the autonomous marine systems research community.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Enhancing AUV Autonomy with Model Predictive Path Integral Control
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Imperial College London

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago