A reinforcement learning‐based approach for modeling and coverage of an unknown field using a team of autonomous ground vehicles S Faryadi, J Mohammadpour Velni International journal of intelligent systems 36 (2), 1069-1084, 2021 | 36 | 2021 |
A graph theoretic-based approach for deploying heterogeneous multi-agent systems with application in precision agriculture M Davoodi, S Faryadi, JM Velni Journal of Intelligent & Robotic Systems 101, 1-15, 2021 | 24 | 2021 |
Agricultural field coverage using cooperating unmanned ground vehicles S Faryadi, M Davoodi, J Mohammadpour Velni Dynamic Systems and Control Conference 59155, V002T25A003, 2019 | 7 | 2019 |
Autonomous real-time monitoring of crops in controlled environment agriculture S Faryadi, M Davoodi, J Mohammadpour Velni Dynamic Systems and Control Conference 59155, V002T25A005, 2019 | 4 | 2019 |
Optimal path planning for a team of heterogeneous drones to monitor agricultural fields S Faryadi, M Davoodi, J Mohammadpour Velni Dynamic Systems and Control Conference 84287, V002T36A006, 2020 | 1 | 2020 |
Coverage control of agricultural fields using heterogeneous multi-robot systems S Faryadi University of Georgia, 2020 | | 2020 |