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 …

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 …

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 …

Although several surveys on Neural Combinatorial Optimization (NCO) solvers specifically
designed to solve Vehicle Routing Problems (VRPs) have been conducted. These existing …

Logistics creates tremendous economic value through supporting the trading of goods
between firms and customers, thereby improving the welfare of the society. In order to …

The packing problem, also known as cutting or nesting, has diverse applications in logistics,
manufacturing, layout design, and atlas generation. It involves arranging irregularly shaped …

2D irregular shape packing is a necessary step to arrange UV patches of a 3D model within
a texture atlas for memory-efficient appearance rendering in computer graphics. Being a …

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 …

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 …

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 …