A graphic overview of the iterative model simplification and motion planning framework for a cloth side folding task, with closed-loop robot execution in the real world. Initially, a simplified geometric model is identified and used to extract key picking points in the reduced action space. A simplified dynamics model is then built and utilized to plan a trajectory in a significantly shorter time. The trajectory is executed on the original model, and if the goal is not reached, the loop iterates, refining the simplified model until a satisfactory trajectory is found. Once a valid trajectory is identified, it is executed on the robot, with the perception system continuously tracking the deformation during manipulation.
A model-simplification framework for efficient deformable-object manipulation: task-conditioned action-space reduction plus simplified #dynamics lets faster planning for cloth folding & rope shaping.
ieeexplore.ieee.org/document/110...
#ComputationalModeling #PathPlanning #Robots