Yiming Yao

McGill University

Papers

1

Total Citations

3

H-Index

1

About

Yiming Yao is a robotics researcher specializing in autonomous marine systems and environmental sensing, with a focus on bridging the gap between surface and subsurface data collection. Their major contribution is the development of the portable autonomous probing system (APS), a low-cost robotic design that enables small autonomous surface vehicles to collect water quality measurements at targeted depths. This innovation addresses a critical, often overlooked niche in marine sampling by providing mobile, depth-specific sensor operation without the need for larger, more expensive platforms. Though early in their career, Yao’s work has already garnered attention, with their most-cited paper accumulating 3 citations—a promising start for a novel system that could revolutionize coastal and inland water monitoring. By making depth-resolved data collection accessible and affordable, Yao’s research has the potential to significantly advance environmental monitoring, aquatic ecosystem studies, and autonomous robotics applications. Their work exemplifies how thoughtful engineering can solve practical challenges in field robotics, offering a scalable solution for researchers and environmental agencies alike.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: McGill University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago