Optimal non-autonomous area coverage control with adaptive reinforcement learning
Area coverage control with multi-agent systems is formulated here in the framework of
Bellman's optimality. In the literature, optimal configurations are obtained by Lloyd's …
Bellman's optimality. In the literature, optimal configurations are obtained by Lloyd's …
Temporal difference learning of area coverage control with multi-agent systems
We formulate an area coverage control problem with multi-agent systems by using Bellman's
principle of optimality. The performance index is composed of the additive contributions of a …
principle of optimality. The performance index is composed of the additive contributions of a …
Area coverage optimization using networked mobile robots with state estimation
I Chism, D Plante, MS Miah - The International FLAIRS Conference …, 2023 - journals.flvc.org
In this paper, we present a solution to the area coverage problem using a team of mobile
robots with state estimation. A group of autonomous mobile robots is deployed in a two …
robots with state estimation. A group of autonomous mobile robots is deployed in a two …
Experimental Validation of Multirobot Coverage using Underactuated Networked Mobile Robots
I Chism, D Plante, M Abouheaf… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Consequent to previously published numerical results on area coverage control with state
estimation, we present apparatus and results of experiments conducted at Bradley …
estimation, we present apparatus and results of experiments conducted at Bradley …