VRMesh establishes a high-performance platform designed to accelerate the development of physical AI, humanoid robotics, and digital twin applications.
» Point Cloud to Mesh
For physical AI to advance, it's crucial to accurately convert point clouds into meshes. This process is key for effective mesh segmentation. Edge-based mesh segmentation is more precise than point cloud-based methods, which simplifies the way you define and manipulate geometric properties. VRMesh is a leading solution for creating highly accurate meshes from point clouds, outperforming other options on the market.
» 3D Segmentation
VRMesh pioneers a new approach to edge-based segmentation, a critical 3D perception capability that empowers physical AI systems to interact intelligently and safely within the complex real world. This technology is vital for a variety of tasks, such as robotic grasping and manipulation.
* VRMesh library is written in C++, compiled as DLL files, and compatible with Microsoft Windows. The input and output (I/O) methods are left open to your application.