neka-nat/cupoch

Health v2 · maintenance only

Adoption not part of the score

1062 stars · 121 forks observed · 2026-09-23

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Cupoch is a C++/Python library that implements rapid 3D data processing for robotics using CUDA, based on Open3D. It provides GPU-accelerated point cloud registration, KNN search, clustering, collision detection, path planning, and visual odometry for robot systems.

Use cases

• accelerate point cloud registration with GPU
• real-time collision avoidance for robots
• visual odometry and SLAM on Jetson
• GPU-accelerated KNN search on point clouds
• path planning with occupancy grid maps
• point cloud clustering and downsampling on GPU

When to choose

• you need fast 3D data processing in a robotics pipeline with NVIDIA GPUs
• you want an Open3D-like API but GPU-accelerated
• you're building SLAM, tracking, or collision avoidance on Jetson or CUDA hardware
• you need Python bindings for CUDA-based point cloud algorithms

When to avoid

• you have no NVIDIA GPU or CUDA support
• you need CPU-only processing or broad platform portability
• you need the full feature set and maturity of Open3D
• your project doesn't involve 3D data or robotics computation

Facets

library · maturity active

image-processing computer-vision simulation math sdk robotics computer-vision gpu-computing autonomous-vehicles cpp python windows point-cloud cuda slam icp-registration collision-avoidance path-planning odometry ros jetson open3d-based occupancy-grid voxel-processing pybind11 algorithms linux gpu docker

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For agents

markdown · JSON · MCP: product_card(name="neka-nat/cupoch")