Robotic object packing has broad practical applications in the logistics and automation industry, often formulated by researchers as the online 3D Bin Packing Problem (3D-BPP). However, existing ...

Bin packing problems are a class of NP-hard combinatorial optimisation challenges with wide-ranging applications in logistics, manufacturing, cloud computing and scheduling. The fundamental task ...

"Your treat may start to thaw when you pass through airport security, and if it exceeds the 100 ml liquid limit, it'll be going straight in the bin. Plus, the spillage while you carry it, not ...

This project reimplements the core ideas of 3D Gaussian Splatting in a clean, minimalist Python codebase using NVIDIA Warp. It runs on both CPU and GPU with no CUDA setup, focuses on clarity and ...

The 0-1 Knapsack Problem (KP) and Bin Packing Problem (BPP) are NP-hard combinatorial optimization challenges often tackled using metaheuristics. Both problems have prominent utilization in the real ...

This work describes crystalline phases of the system [HSC(NH 2) 2]I/(CH 3 NH 3)I/PbI 2 and discusses the crystal structures in the context of a common cubic closest packing of organic cations and ...

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