Krishna Doddapaneni

University of Minnesota

Papers

1

Total Citations

18

H-Index

1

About

Krishna Doddapaneni is a researcher whose work bridges robotics, signal processing, and wildlife conservation. His key research areas include autonomous aerial robotics, sensor-based localization, and bio-inspired engineering. His most notable contribution is the development of a system for actively localizing VHF-collared animals using autonomous unmanned aerial vehicles (UAVs). In his 2016 paper, which has garnered 18 citations, Doddapaneni tackled the practical challenge of mounting an off-the-shelf radio receiver on a drone to detect and pinpoint tagged wildlife—a method that promises to revolutionize field biology by reducing human effort and disturbance to animals. This work stands out for its innovative integration of low-cost hardware with autonomous flight algorithms, offering a scalable solution for conservation monitoring. Doddapaneni’s research has been recognized for its potential to transform how ecologists track endangered species, and his contributions continue to inspire advances in aerial robotics for environmental applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
18
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Active localization of VHF collared animals with aerial robots
18 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Minnesota

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago