Papers
3
Total Citations
8
H-Index
2
About
Anand George is a robotics researcher focused on advancing autonomous systems for environmental monitoring, with a particular emphasis on forest inventory and surveillance applications. His work bridges the gap between robotic control systems and real-world ecological challenges, notably through the development of lightweight under-canopy drones capable of navigating dense forest interiors—a domain where traditional aerial drones struggle. His 2024 paper on an autonomous robotic drone system for mapping forest interiors (3 citations) introduces a novel approach to under-canopy data collection, addressing the critical challenge of flying in GPS-denied, obstacle-rich environments. Earlier, his 2017 work on controller design for skid-steered robots (3 citations) tackled the complex kinematic and dynamic modeling required for robust outdoor mobile robots, improving motion and pose estimation for surveillance tasks. Most recently, his 2025 paper on autonomous photogrammetric forest inventory (2 citations) extends this line of research toward practical, scalable forest monitoring solutions. Though early in his career, George’s contributions are already shaping the future of autonomous environmental sensing, with potential applications in precision forestry, disaster response, and ecological research.
Research Focus
Key Achievements
Top Papers
- 1Autonomous robotic drone system for mapping forest interiors3 citations · 2024
- 2
- 3