Simultaneous task and energy planning using deep reinforcement learning

D Wang, M Hu, JD Weir - Information Sciences, 2022 - Elsevier
To improve energy awareness of unmanned autonomous vehicles, it is critical to co-optimize
task planning and energy scheduling. To the best of our knowledge, most of the existing task …

Task scheduling for heterogeneous agents pickup and delivery using recurrent open shop scheduling models

H Wang, W Chen - Robotics and Autonomous Systems, 2024 - Elsevier
We study the transport-pick agents task scheduling (TPTS) problem in heterogeneous
agents pickup and delivery (HAPD). Two functionally heterogeneous agent types, transport …

Energy saving quadrotor control for field inspections

Y Wang, Y Wang, B Ren - IEEE Transactions on Systems, Man …, 2020 - ieeexplore.ieee.org
This article presents a control strategy to improve the energy efficiency of a quadrotor for
field inspections. A power consumption analytical model for a quadrotor is constructed …

Coupled task scheduling for heterogeneous multi-robot system of two robot types performing complex-schedule order fulfillment tasks

H Wang, W Chen, J Wang - Robotics and Autonomous Systems, 2020 - Elsevier
This paper addresses multi-robot task scheduling for two robot types arising from
heterogeneous robotic order fulfillment systems. The heterogeneous multi-robot system …

Multi-cleaning robots using cleaning distribution method based on map decomposition in large environments

X Miao, HS Lee, BY Kang - IEEE Access, 2020 - ieeexplore.ieee.org
Most cleaning robots have a good cleaning performance for small environments such as
houses but require a longer cleaning time due to problems such as slow cleaning progress …

Development of a novel robust control method for formation of heterogeneous multiple mobile robots with autonomous docking capability

N Lashkari, M Biglarbegian… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Multiple mobile robots in formation are often required to dock to each other to overcome the
limitations, such as battery failure, transportation capacity, and maneuverability on rough …

An agent-based modeling framework for the multi-UAV rendezvous recharging problem

K Chour, JP Reddinger, J Dotterweich… - Robotics and …, 2023 - Elsevier
In this work, we aim to model the multi-UAV rendezvous recharging problem, which consists
of energy-limited aerial vehicles that rendezvous with a mobile or fixed charging station. The …

Multi-robot pickup and delivery via distributed resource allocation

A Camisa, A Testa… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, we consider a large-scale instance of the classical pickup-and-delivery vehicle
routing problem that must be solved by a network of mobile cooperating robots. Robots must …

E2M: an energy-efficient middleware for computer vision applications on autonomous mobile robots

L Liu, J Chen, M Brocanelli, W Shi - Proceedings of the 4th ACM/IEEE …, 2019 - dl.acm.org
Autonomous mobile robots (AMRs) have been widely utilized in industry to execute various
on-board computer-vision applications including autonomous guidance, security patrol …

Optimizing fuel consumption in thrust allocation for marine dynamic positioning systems

M Kalikatzarakis, A Coraddu, L Oneto… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In offshore maritime operations, automated systems capable of maintaining the vessel's
position and heading using its own propellers and thrusters to compensate exogenous …