PerceptionVision and gripper feedback
Cameras and tactile sensors on the gripper feed real-time data about the workspace, case geometry, and placement success back to the system.
Digital TwinSimulation before execution
MujinOS builds a live 3D model of the robot, cases, and pallet, simulating gripper motions and case stacking before commanding the robot.
PlanningAutomatic pattern optimization
The system calculates the optimal stacking pattern based on case weight, size, and material, and robot motion constraints, all in real-time as cases arrive.
ExecutionNo-code deployment
Once trained, MujinOS executes without human re-programming, adapting to case size and SKU changes automatically.