n this paper, we investigate the contribution that visual perception affords to a robotic manipulation task in which a crumpled garment is flattened by eliminating visually detected wrinkles. In order to explore and validate visually guided clothing manipulation in a repeatable and controlled environment, we have developed a hand-eye interactive virtual robot manipulation system that incorporates a clothing simulator to close the effector-garment-visual sensing interaction loop. We present the technical details and compare the performance of two different methods for detecting, representing and interpreting wrinkles within clothing surfaces captured in high-resolution depth maps. The first method we present relies upon a clustering-based me...
In this paper we address the problem of finding an initial good grasping point for the robotic manip...
In this paper we address the problem of finding an initial good grasping point for the robotic manip...
Using reinforcement learning has enabled robots to learn how to accomplish a wide range of tasks wit...
n this paper, we investigate the contribution that visual perception affords to a robotic manipulati...
We present a visually guided, dual-arm, industrial robot system that is capable of autonomously flat...
Deformable objects manipulation (DOM) is largely considered an open problem in robotics. The complex...
Deformable Object Manipulation (DOM) is an important field of research as it contributes to practica...
This thesis proposes a generic visual perception architecture for robotic clothes perception and man...
Abstract. In this paper we address the problem of finding an initial good grasping point for the rob...
Detecting grasping points is a key problem in cloth manipulation. Most current approaches follow a m...
This thesis introduces an effective robotic garment flattening pipeline and robotic perception parad...
In this paper, the problem of identifying optimal grasping poses for cloth-like deformable objects i...
© . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommo...
We present a visually guided, dual-arm, industrial robot system that is capable of autonomously flat...
This paper presents a novel robot vision architecture for perceiving generic 3D clothes configuratio...
In this paper we address the problem of finding an initial good grasping point for the robotic manip...
In this paper we address the problem of finding an initial good grasping point for the robotic manip...
Using reinforcement learning has enabled robots to learn how to accomplish a wide range of tasks wit...
n this paper, we investigate the contribution that visual perception affords to a robotic manipulati...
We present a visually guided, dual-arm, industrial robot system that is capable of autonomously flat...
Deformable objects manipulation (DOM) is largely considered an open problem in robotics. The complex...
Deformable Object Manipulation (DOM) is an important field of research as it contributes to practica...
This thesis proposes a generic visual perception architecture for robotic clothes perception and man...
Abstract. In this paper we address the problem of finding an initial good grasping point for the rob...
Detecting grasping points is a key problem in cloth manipulation. Most current approaches follow a m...
This thesis introduces an effective robotic garment flattening pipeline and robotic perception parad...
In this paper, the problem of identifying optimal grasping poses for cloth-like deformable objects i...
© . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommo...
We present a visually guided, dual-arm, industrial robot system that is capable of autonomously flat...
This paper presents a novel robot vision architecture for perceiving generic 3D clothes configuratio...
In this paper we address the problem of finding an initial good grasping point for the robotic manip...
In this paper we address the problem of finding an initial good grasping point for the robotic manip...
Using reinforcement learning has enabled robots to learn how to accomplish a wide range of tasks wit...