Papers
7
Total Citations
270
H-Index
6
About
Panos Marantos is a leading researcher in autonomous robotic systems, with a primary focus on the control and navigation of underwater and aerial vehicles. His work centers on developing robust, real-time solutions for complex, constrained environments. Marantos is best known for his pioneering contributions to Nonlinear Model Predictive Control (NMPC) for autonomous underwater vehicles (AUVs), as detailed in his most-cited work (111 citations), which provides a robust framework for waypoint navigation and obstacle avoidance. He has also made significant strides in multi-robot coordination, notably solving the challenging problem of landing a quadrotor on an inclined, moving platform (68 citations). His research extends to innovative system identification, with an unsupervised online method for AUVs (36 citations), and bio-inspired robotics, contributing to the modeling and control of the BADGER underground robot for drilling and propulsion. With over 270 total citations, Marantos’s work is distinguished by its practical, sensor-driven approach, integrating state estimation, collision avoidance, and low-complexity algorithms for real-world deployment. His achievements demonstrate a consistent ability to push the boundaries of autonomous navigation in some of the most demanding operational domains.
Research Focus
Key Achievements
Top Papers
- 1A Robust Predictive Control Approach for Underwater Robotic Vehicles111 citations · 2019
- 2Quadrotor landing on an inclined platform of a moving ground vehicle68 citations · 2015
- 3Unsupervised Online System Identification for Underwater Robotic Vehicles36 citations · 2018
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