A review on learning to solve combinatorial optimisation problems in manufacturing
An efficient manufacturing system is key to maintaining a healthy economy today. With the
rapid development of science and technology and the progress of human society, the …
rapid development of science and technology and the progress of human society, the …
Heuristics integrated deep reinforcement learning for online 3d bin packing
S Yang, S Song, S Chu, R Song… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Online 3D Bin Packing Problem (3D-BPP) has a wide range of industrial applications and
there is an emerging research interest in learning optimal bin packing policy and deploying …
there is an emerging research interest in learning optimal bin packing policy and deploying …
Learning efficient online 3D bin packing on packing configuration trees
Online 3D Bin Packing Problem (3D-BPP) has widespread applications in industrial
automation and has aroused enthusiastic research interest recently. Existing methods …
automation and has aroused enthusiastic research interest recently. Existing methods …
Adjustable robust reinforcement learning for online 3d bin packing
Designing effective policies for the online 3D bin packing problem (3D-BPP) has been a
long-standing challenge, primarily due to the unpredictable nature of incoming box …
long-standing challenge, primarily due to the unpredictable nature of incoming box …
[PDF][PDF] Dense, Interlocking-Free and Scalable Spectral Packing of Generic 3D Objects.
1: 2• Cui et al. its practical importance, such as in robotic packaging [Wang and Hauser
2019], 3D printing [Chen et al. 2015; Yao et al. 2015], transportation [Egeblad et al. 2010] …
2019], 3D printing [Chen et al. 2015; Yao et al. 2015], transportation [Egeblad et al. 2010] …
Towards reliable robot packing system based on deep reinforcement learning
Object packing by a robot has a wide range of applications in the logistics industry. This task
requires the variable size items to be picked from piles one by one and then packed into …
requires the variable size items to be picked from piles one by one and then packed into …
Volumetric Techniques for Product Routing and Loading Optimisation in Industry 4.0: A Review
R Lopes, M Trovati, E Pereira - Future Internet, 2024 - mdpi.com
Industry 4.0 has become a crucial part in the majority of processes, components, and related
modelling, as well as predictive tools that allow a more efficient, automated and sustainable …
modelling, as well as predictive tools that allow a more efficient, automated and sustainable …
Learning physically realizable skills for online packing of general 3D shapes
We study the problem of learning online packing skills for irregular 3D shapes, which is
arguably the most challenging setting of bin packing problems. The goal is to consecutively …
arguably the most challenging setting of bin packing problems. The goal is to consecutively …
SDF-Pack: Towards Compact Bin Packing with Signed-Distance-Field Minimization
Robotic bin packing is very challenging, especially when considering practical needs such
as object variety and packing compactness. This paper presents SDF-Pack, a new approach …
as object variety and packing compactness. This paper presents SDF-Pack, a new approach …
A customizable optimization model for green e-commerce packing considering multiple orders and diverse box types
K Liang, J Yang, M Shan, L Kong, H Liu - Journal of Cleaner Production, 2024 - Elsevier
In response to the growing emphasis on green packing, e-commerce businesses actively
pursue sustainable solutions that balance cost reduction with environmental conservation …
pursue sustainable solutions that balance cost reduction with environmental conservation …