Cupoch

Benchmarks in the README show significant speedups over CPU-based Open3D, with up to 100x faster point cloud processing for tasks like registration and filtering, enabling real-time robotics applications.

Provides a comprehensive suite of algorithms for SLAM, visual odometry, collision detection, and path planning, as listed in the core features, tailored specifically for robotic systems.

Supports DLPack for seamless data exchange with PyTorch and CuPy, allowing easy integration with machine learning pipelines for tasks like 3D perception and deep learning.

Includes an interactive GUI with OpenGL CUDA interop and ImGui, demonstrated in examples, for immediate 3D data rendering and debugging during development.