Papers

2

Total Citations

25

H-Index

2

About

Oscar Pang is a robotics researcher whose work pushes the boundaries of aerial and aquatic autonomy, with a focus on extending operational endurance and enabling novel environmental sensing. His most-cited paper, “Learning Tethered Perching for Aerial Robots” (2023, 16 citations), tackles a fundamental limitation of drones—battery life—by developing a learning-based system that allows aerial robots to autonomously perch on structures using a tether, dramatically reducing energy consumption during long-duration missions. This work directly addresses the challenge of limited specific energy in commercial batteries (~300 Wh/kg), offering a practical path toward persistent flight for data collection in hard-to-reach areas. In parallel, his paper “Use of an unmanned aerial‐aquatic vehicle for acoustic sensing in freshwater ecosystems” (2023, 9 citations) pioneers the deployment of hybrid aerial-aquatic drones for passive acoustic monitoring (PAM) in endangered and understudied freshwater habitats. By overcoming accessibility barriers, Pang’s research enables efficient, non-invasive data collection that can transform conservation efforts. Together, these contributions highlight his impact at the intersection of robotics, energy efficiency, and environmental science, making him a rising figure in field robotics with a clear commitment to real-world applications.

Research Focus

Key Achievements

2
H-Index
2
Papers
25
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Learning Tethered Perching for Aerial Robots
16 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Imperial College London, Vaughn College of Aeronautics and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago