Andre Green

Los Alamos National Laboratory

Papers

1

Total Citations

1

H-Index

1

About

Andre Green is a robotics researcher specializing in bio-inspired perception and autonomous navigation for aerial systems. His work focuses on developing novel sensing techniques that enable drones to operate reliably in complex, unstructured indoor environments where traditional sensors often fail. Green’s most notable contribution is his pioneering work on a multi-modal, silicon retina approach for detecting reflective and transparent barriers—a critical challenge for indoor flight. This research, published in 2020, draws inspiration from biological vision systems to create robust, low-latency obstacle detection methods. While his citation count is still growing, his work addresses a fundamental bottleneck in autonomous indoor navigation, with direct applications in disaster response, infrastructure inspection, and commercial drone operations. Green’s innovative fusion of neuromorphic engineering and robotics positions him at the forefront of developing more resilient and perceptive autonomous systems for real-world deployment.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
A Multi-Modal, Silicon Retina Technique for Detecting the Presence of Reflective and Transparent Barriers
1 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Los Alamos National Laboratory

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago