Athanasios Mastrogeorgiou
National Technical University of Athens, Systems Control (United States), Space Hellas (Greece)
Papers
5
Total Citations
26
H-Index
4
About
Athanasios Mastrogeorgiou is a robotics researcher whose work bridges the gap between intelligent control systems and practical automation. His primary research areas include deep reinforcement learning for legged locomotion, agricultural robotics, and autonomous navigation in constrained environments. Mastrogeorgiou’s most impactful contribution is his work on quadrupedal robots, where he developed a deep reinforcement learning framework combined with toe trajectory planning to enable stable slope handling—a paper that has garnered 8 citations and addresses a fundamental challenge in dynamic locomotion. He has also made significant strides in agricultural automation, designing a low-cost, accurate robotic harvesting system for mushroom farms that integrates an actuated scanning vision system with a gantry robot (7 citations). His research extends to energy-efficient trotting for legged robots, automated air-cargo container handling, and real-time collision-free trajectory planning for autonomous vehicles using only a single RGB-D camera. Mastrogeorgiou’s work is characterized by its practical impact, focusing on deployable solutions for real-world industries, from farming to logistics. His achievements demonstrate a rare ability to combine theoretical advances in control and perception with tangible, cost-effective robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Low-cost, accurate robotic harvesting system for existing mushroom farms7 citations · 2023
- 3Learning Energy-Efficient Trotting for Legged Robots4 citations · 2022
- 4Automating Loading and Locking of New Generation Air-cargo Containers4 citations · 2019
- 5