Implementation of Decentralized Reinforcement Learning-Based Multi-Quadrotor Flocking

Implementation of Decentralized Reinforcement Learning-Based Multi-Quadrotor Flocking

Enabling coordinated motion of multiple quadrotors is an active area of research in the field of small unmanned aerial vehicles (sUAVs). While there are many techniques found in the literature that address the problem, these studies are limited to simulation results and seldom account for wind distu...

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Bibliographic Details
Main Authors: Pramod Abichandani, Christian Speck, Donald Bucci, William Mcintyre, Deepan Lobo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Cooperative systems
design for experiments
unmanned aerial vehicles
multi-agent systems
motion planning
supervised learning
Online Access:https://ieeexplore.ieee.org/document/9548090/

Internet

https://ieeexplore.ieee.org/document/9548090/

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