Industry 5 and the human in Human-Centric manufacturing

K Briken, J Moore, D Scholarios, E Rose, A Sherlock - Sensors, 2023 - mdpi.com
Industry 4 (I4) was a revolutionary new stage for technological progress in manufacturing
which promised a new level of interconnectedness between a diverse range of …

Efficient Task Planning for Heterogeneous AGVs in Warehouses

Y Li, H Huang - IEEE Transactions on Intelligent Transportation …, 2024 - ieeexplore.ieee.org
Recently, heterogeneous automated guided vehicles (AGVs) are widely deployed to
improve the work efficiency of the logistics warehouse with limited space. While completing …

[HTML][HTML] An adaptive agent-based approach for instant delivery order dispatching: Incorporating task buffering and dynamic batching strategies

M Lu, X Yan, SS Azadeh, P Wang - International Journal of Transportation …, 2024 - Elsevier
The volume of instant delivery has witnessed a significant growth in recent years. Given the
involvement of numerous heterogeneous stakeholders, instant delivery operations are …

A Data-driven Spatiotemporal Simulator for Reinforcement Learning Methods

D Shi, B Song, Y Zhang, H Yang, K Xu - Proceedings of the VLDB …, 2024 - dl.acm.org
Spatiotemporal applications such as taxi order dispatching and warehouse task scheduling
depend critically on the algorithms for operational efficiency. However, the inherent dynamic …

MARLIN: A cloud integrated robotic solution to support intralogistics in retail

D Mronga, A Bresser, FM genannt Bermpohl… - Robotics and …, 2024 - Elsevier
In this paper, we present the service robot MARLIN and its integration with the K4R platform
1, a cloud system for complex AI applications in retail. At its core, this platform contains so …

Collision-aware route planning in warehouses made efficient: A strip-based framework

D Shi, N Zhou, Y Tong, Z Zhou, Y Xu… - 2023 IEEE 39th …, 2023 - ieeexplore.ieee.org
Multi-robot systems are deployed in modern warehouses to reduce operational cost. The
robots are tasked to deliver items stored on racks to pickers for fast distribution. A central …

Multi-Source Domain Adaptation Enhanced Warehouse Dwell Time Prediction

W Zhao, J Mao, X Lv, C Jin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Warehouse dwell time (WDT) of a truck is a critical metric for evaluating plant-logistics
efficiency, including the time of the truck's queuing outside and loading inside the …

Scalable Hierarchical Reinforcement Learning for Hyper Scale Multi-Robot Task Planning

X Zhou, X Shi, L Zhang, C Chen, H Li, L Ma… - arXiv preprint arXiv …, 2024 - arxiv.org
To improve the efficiency of warehousing system and meet huge customer orders, we aim to
solve the challenges of dimension disaster and dynamic properties in hyper scale multi …

Stepwise Large-Scale Multi-Agent Task Planning Using Neighborhood Search

F Zeng, S Shirafuji, C Fan, M Nishio… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
This letter presents a novel stepwise multi-agent task planning method that incorporates
neighborhood search to address large-scale problems, thereby reducing computation time …

机器学习驱动的多智能体路径搜寻算法综述

王祥丰, 李文浩 - 运筹学学报, 2023 - ort.shu.edu.cn
多智能体路径搜寻(Multi-agent Path Finding, MAPF) 问题是多智能体系统中的核心基本问题,
被广泛应用于自动化智能仓储, 自动驾驶, 群体机器人等实际场景. 从问题属性来看 …