en.Wedoany.com Reported - China's iRobotCAM is an industrial software company specializing in embodied intelligence design, whose technical solutions have been recognized by multiple leading humanoid robot and dexterous hand companies in the industry. The core architecture of this software is based on a CAD 3D geometric kernel, bridging design requirements upstream and connecting to simulation processes downstream. Its skeleton-based joint design architecture supports rapid generation of kinematic models and is compatible with various simulation software such as Isaac Sim and OpenSim.

Robotic dogs are a widely adopted product form in the field of embodied intelligence. Manufacturers such as Unitree and Deep Robotics have launched multiple products for scenarios like power inspection. Different user scenarios impose varying requirements on robotic dog capabilities, necessitating training tailored to specific tasks, among which load capacity training is the most critical.

iRobotCAM can import data formats from various 3D software, including Catia, Solidworks, NX, Creo, and Inventor. By importing the robotic dog model through multiple files, users can establish a 3D structural diagram in the software and design the load structure of the robotic dog using the modeling functions of the ZW3D platform.

Using the software's assembly management function, users can quickly set material properties for each part and calculate physical characteristics such as inertia.

As a professional robot design and simulation software, iRobotCAM's mechatronic design functions support operations such as creating mechatronic objects, kinematic pairs, and collision body detection.

Through the skeleton-based robot joint design panel, all joint mechanisms of the robot can be linked together to form a complete embodied intelligence general-purpose robot model.

iRobotCAM provides convenient URDF import and export functions, enabling the generation of universal URDF files or MuJoCo XML, seamlessly interfacing with the simulation requirements of mainstream biomechanics engines such as MuJoCo, Simbody, OpenSim, and Isaac Sim.

With the help of iRobotCAM's embodied intelligence design tools, the modification process of the robotic dog model is simplified. A comprehensive dynamics model ensures accuracy from the data source, helping to accelerate the efficiency of simulation training for robotic dogs in application scenarios.