{
  "id": 19844035,
  "title": "Build a Robot Pick-and-Place Simulation with SimReady Assets",
  "url": "https://urgent.news/2026/11/13/build-a-robot-pick-and-place-simulation-with-simready-assets",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-11-13T18:00:39.000Z",
  "source": {
    "name": "Hugging Face",
    "slug": "hugging-face",
    "url": "https://huggingface.co/blog/nvidia/simready-assets-robot-pick-and-place"
  },
  "original_language": "en",
  "account": "This walkthrough demonstrates a beverage can pick-and-place task utilizing the UR17G arm, Robotiq 2F-140 gripper, and beverage can in SimReady assets. SimReady refers to an OpenUSD asset prepared with properties such as collisions, mass, joints, and joint drives for a defined simulation use case. SimReady Central is an open asset library on Hugging Face, enabling reuse of robot and object assets with simulation properties and profile validation. For this task, the required properties are the arm and gripper's joints, as well as the beverage can's collisions and mass.\n\nValidation checks ensure these settings meet the profile's requirements. The simulation then tests whether the robot can use these components to grasp and move the can. SimReady Central supplies the asset models and simulation settings, while the example scene and controls define the pick-and-place task. Before running the pick-and-place, validating the robot's joints, movement, and contact behavior is essential.\n\nTo assemble the scene, download the assets from SimReady Central, including the UR17G arm, Robotiq 2F-140 gripper, and beverage can. Keep all three complete asset folders intact for Isaac Sim to find their supporting files. Validate the assets against the Robot-Body 4.0.0 profile for the arm and the Robot-Gripper 3.0.0 profile for the gripper, both of which record passing PhysX-driven joint checks.\n\nTest the assembled robot and can in the simulation, ensuring they work together as intended. Use the provided controller to coordinate the arm's movement with the gripper's opening and closing. Assess the agent-generated task by evaluating the simulation behavior using the checks outlined in the next step.",
  "summary": null,
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}