Results 51 to 60 of about 4,092,395 (209)

A Grouping Genetic Algorithm for the Order Batching Problem in Distribution Warehouses [PDF]

open access: yes
Order picking is a warehouse function that deals with the retrieval of articles from their storage locations in order to satisfy certain customer demands. Combining several single customer orders into one (more substantial) picking order can increase the
Sören Koch, Gerhard Wäscher
core  

Order Picking Using Augmented Reality

open access: yes, 2014
This article examines the problem of application of augmented reality in terms of picking goods in static systems with the deployment of a man (systems "goods to man"). Article describes a comprehensive methodology for the use of augmented reality in the
Branislav Micieta   +2 more
core   +1 more source

Team CVAP’s Mobile Picking System at the Amazon Picking Challenge 2015

open access: yes, 2020
In this paper we present the system we developed for the Amazon Picking Challenge 2015, and discuss some of the lessons learned that may prove useful to researchers and future teams developing autonomous robot picking systems. For the competition we used
Danica Kragic   +11 more
core   +1 more source

Micropillar‐Engineered Hybrid Adhesive Patch for Surface‐Conformable and Directional Adhesion

open access: yesAdvanced Materials Technologies, EarlyView.
This work presents a surface‐conformable hybrid adhesive integrating height‐optimized hexagonal micropillars with open‐rectangular cuts. The micropillars enhance rough‐surface contact and microscale crack arrest, while the cuts guide and reverse interfacial cracks for strong and directional adhesion. The multiscale architecture achieves robust pull‐off
Seongjin Park   +4 more
wiley   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang   +8 more
wiley   +1 more source

Development of an Exoskeleton to Assist Citrus-Picking

open access: yes
Work-related musculoskeletal disorders (WMSDs) are prevalent in manual agricultural work worldwide, with citrus pickers being particularly vulnerable. Exoskeletons present a promising solution to enhance working conditions and health by mitigating the ...
Sanura Dunu Arachchige (15378079)
core   +1 more source

Hydro‐ and Lipophilicity of Molecular‐Size‐Controlled Hydrogel Drug Carriers

open access: yesAdvanced Materials Technologies, EarlyView.
We investigate nano‐sized hydrogel drug carriers with tailored hydro‐ and lipophilicity. We design their encapsulation and structure‐forming capabilities and follow them in real time during fabrication using time‐resolved and in situ grazing incidence x‐ray scattering.
Elisabeth Erbes   +21 more
wiley   +1 more source

Order batching in multi-server pick-and-sort warehouses. [PDF]

open access: yes
In many warehouses, customer orders are batched to profit from a reduction in the order picking effort. This reduction has to be offset against an increase in sorting effort.
Van Nieuwenhuyse, Inneke   +2 more
core  

Liquid Crystal Elastomer Actuator Matrix for Large Area Applications

open access: yesAdvanced Materials Technologies, EarlyView.
A scalable approach is used to manufacture a digitally‐controllable, 2D 5 × 5 actuator matrix. The elements of the matrix are produced by direct ink writing of a liquid crystal elastomer ‘artificial muscle’ on large‐area flexible thin‐film heaters. In optimizing the low‐power actuators, multiple heater designs and substrate materials are investigated ...
Giulia Spallanzani   +5 more
wiley   +1 more source

Team KTH’s Picking Solution for the Amazon Picking Challenge 2016

open access: yes, 2017
In this work we summarize the solution developed by Team KTH for the Amazon Picking Challenge 2016 in Leipzig, Germany. The competition simulated a warehouse automation scenario and it was divided in two tasks: a picking task where a robot picks items ...
Caccamo, Sergio,   +12 more
core  

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