[HTML][HTML] Comprehensive Review of Robotized Freight Packing
Background: This review addresses the emerging field of automated packing cells, which
lies at the intersection of robotics and packing problems. Integrating these two fields is …
lies at the intersection of robotics and packing problems. Integrating these two fields is …
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 …
PPN-Pack: Placement Proposal Network for Efficient Robotic Bin Packing
Robotic bin packing is a challenging task, requiring compactly packing objects in a container
and also efficiently performing the computation, such that the robot arm need not wait too …
and also efficiently performing the computation, such that the robot arm need not wait too …
Dynamics simulation-based packing of irregular 3D objects
The 3D packing problem has a wide range of applications. However, the complex geometry
of irregular objects leads to a sharp increase in the number of placement combinations …
of irregular objects leads to a sharp increase in the number of placement combinations …
DISCO: Efficient Diffusion Solver for Large-Scale Combinatorial Optimization Problems
Combinatorial Optimization (CO) problems are fundamentally crucial in numerous practical
applications across diverse industries, characterized by entailing enormous solution space …
applications across diverse industries, characterized by entailing enormous solution space …
GFPack++: Improving 2D Irregular Packing by Learning Gradient Field with Attention
2D irregular packing is a classic combinatorial optimization problem with various
applications, such as material utilization and texture atlas generation. This NP-hard problem …
applications, such as material utilization and texture atlas generation. This NP-hard problem …
Learning Polynomial Representations of Physical Objects with Application to Certifying Correct Packing Configurations
M Jones - arXiv preprint arXiv:2312.06791, 2023 - arxiv.org
This paper introduces a novel approach for learning polynomial representations of physical
objects. Given a point cloud data set associated with a physical object, we solve a one-class …
objects. Given a point cloud data set associated with a physical object, we solve a one-class …