Deformable Object Manipulation. Modeling of String Objects for Their Manipulation.

Robot Manipulation of Deformable Objects

Modeling of Deformable Thin Parts for Their Manipulation

A systematic approach to modeling of deformable soft parts for their manipulation is presented. Various deformable parts such as cords, leather products, and sheet metals are manipulated and are handled in a lot of manufacturing processes. Deformation of these parts is often utilized in order to manipulate them successfully while the manipulation sometimes fails because of unexpected deformatio...

Recursive Learning for Deformable Object Manipulation

This paper presents a generalized approach to handling of 3D deformable objects. Our task is to learn robotic grasping characteristics for a non-rigid object represented by a physically-based model. The model is derived from discretizing the object into a network of interconnected particles and springs. Using Newtonian equations, we model the particle motion of a deformable object and thus calc...

Intelligent learning for deformable object manipulation

The majority of manipulation systems are designed with the assumption that the objects’being handled are rigid and do not deform when grasped. This paper addresses the problem of robotic grasping and manipulation of 3-D deformable objects, such as rubber balls or bags filled with sand.‘ Specifically, we have developed a generalized learning algorithm for handling of 3-D deformable objects in wh...

Robust Grasping Manipulation of Deformable Objects

A simple but robust control law for the grasping manipulation of deformable objects is presented. In the handling of deformable objects, grasping and manipulation must be performed simultaneously despite uncertainties during the handling process. We will propose a control law to perform grasping and manipulation of deformable objects using a realtime vision system.