منابع مشابه
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...
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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...
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Recent advancement of network and communication technologies has raised expectations for transmission of multi-sensory information and multi-modal communication. Transmission of haptic sensation has been a topic of research in tele-robotics for a long period. However, as commercial haptic device prevails, and as internet spreads world-wide, it became possible to exchange haptic information for ...
متن کاملBandit-Based Model Selection for Deformable Object Manipulation
We present a novel approach to deformable object manipulation that does not rely on highly-accurate modeling. The key contribution of this paper is to formulate the task as a Multi-Armed Bandit problem, with each arm representing a model of the deformable object. To “pull” an arm and evaluate its utility, we use the arm’s model to generate a velocity command for the gripper(s) holding the objec...
متن کامل3D Deformable Object Manipulation using Fast Online Gaussian Process Regression
In this paper, we present a general approach to automatically visual-servo control the position and shape of a deformable object whose deformation parameters are unknown. The servo-control is achieved by online learning a model mapping between the robotic end-effector’s movement and the object’s deformation measurement. The model is learned using the Gaussian Process Regression (GPR) to deal wi...
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ژورنال
عنوان ژورنال: Journal of the Robotics Society of Japan
سال: 1998
ISSN: 0289-1824,1884-7145
DOI: 10.7210/jrsj.16.136