Weiyu He

United States Army

Papers

1

Total Citations

8

H-Index

1

About

Weiyu He is a researcher specializing in robotics, autonomous systems, and sensor payload optimization, with a focus on enhancing situational awareness in challenging environments. His most-cited work, “Optimized low Size, Weight, Power and Cost (SWaP-C) payload for mapping interiors and subterranean on an Unmanned Ground Vehicle” (2020, 8 citations), addresses critical gaps in dense urban and subterranean operations. He demonstrates how commercially available LIDAR systems can be adapted for compact, cost-effective deployment on unmanned ground vehicles, enabling precise 3D mapping of subsurface and super-surface structures where traditional threat detection is diminished. This contribution is particularly relevant to defense and search-and-rescue missions, as it improves the ability to identify hidden threats in complex terrains. He’s research bridges the gap between high-performance sensing and practical SWaP-C constraints, offering scalable solutions for field robotics. With a growing citation impact, his work is foundational for engineers developing autonomous platforms for military and civilian applications. He’s achievements highlight his role in advancing affordable, ruggedized payloads that expand the operational reach of unmanned systems in GPS-denied or visually obstructed environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Optimized low Size, Weight, Power and Cost (SWaP-C) payload for mapping interiors and subterranean on an Unmanned Ground Vehicle
8 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: United States Army

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago