Lampis Papakostas
Papers
1
Total Citations
3
H-Index
1
About
Lampis Papakostas is a researcher advancing the field of autonomous navigation, with a focus on enabling robust, real-time operation in complex, dynamic environments. His key research areas span localization, mapping, and collision-free trajectory planning for robotic vehicles, with a particular emphasis on systems that can function without GPS. Papakostas's major contribution is the development of an integrated algorithm that fuses real-time local map generation with trajectory planning, requiring only a single RGB-D camera. This approach allows for deployment across diverse robotic platforms, from ground vehicles to aerial drones, effectively handling moving obstacles and dynamic surroundings. His work, notably detailed in his 2023 paper "Real-Time Local Map Generation and Collision-Free Trajectory Planning for Autonomous Vehicles in Dynamic Environments," has garnered early citations, signaling its growing impact on practical, low-cost autonomous systems. By addressing the critical challenge of GPS-denied navigation, Papakostas is helping to pave the way for more resilient and adaptable autonomous vehicles in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1