Differentiable Optimization-Based Modular Planning Framework for Pick-And-Place with Regrasp
Robotic manipulation commonly involves pick-and-place tasks in which regrasp may be necessary for low-dexterity manipulators. Many existing approaches rely on sampling, which becomes inefficient when repeated regrasp is required in high-dimensional configuration spaces. We propose a modular planning…