Simultaneous task and energy planning using deep reinforcement learning
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 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
We study the transport-pick agents task scheduling (TPTS) problem in heterogeneous
agents pickup and delivery (HAPD). Two functionally heterogeneous agent types, transport …
agents pickup and delivery (HAPD). Two functionally heterogeneous agent types, transport …
Energy saving quadrotor control for field inspections
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 …
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
This paper addresses multi-robot task scheduling for two robot types arising from
heterogeneous robotic order fulfillment systems. The heterogeneous multi-robot system …
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 …
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 …
limitations, such as battery failure, transportation capacity, and maneuverability on rough …
An agent-based modeling framework for the multi-UAV rendezvous recharging problem
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 …
of energy-limited aerial vehicles that rendezvous with a mobile or fixed charging station. The …
Multi-robot pickup and delivery via distributed resource allocation
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 …
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
Autonomous mobile robots (AMRs) have been widely utilized in industry to execute various
on-board computer-vision applications including autonomous guidance, security patrol …
on-board computer-vision applications including autonomous guidance, security patrol …
Optimizing fuel consumption in thrust allocation for marine dynamic positioning systems
In offshore maritime operations, automated systems capable of maintaining the vessel's
position and heading using its own propellers and thrusters to compensate exogenous …
position and heading using its own propellers and thrusters to compensate exogenous …