The work explained in this technical report is about evaluating some recent algorithms to grasp unforeseen objects for table clearance tasks. A tabletop object segmentation algorithm is proposed, and two recently published methods to generate grasps are discussed. The report presents practical considerations on how to use the segmentation algorithm and how to perform the tests with the evaluated algorithms for the generation of grasping poses. Finally, the results of both approaches and their comparison are discussed.Preprin
Treball de Final de Màster Universitari Erasmus Mundus en Robòtica Avançada. Codi: SJD024. Curs acad...
We consider the problem of grasping novel objects, specifically ob-jects that are being seen for the...
This paper presents a method for robustly identifying the manipulability of objects in a scene based...
The work explained in this technical report is about evaluating some recent algorithms to grasp unf...
International audienceThis paper describes the development of a novel vision-based grasping system f...
Grasping objects is a task that humans do without major concerns. This results from learning and ob...
In this paper, enhancement to the novel grasp planning algorithm based on gripper workspace spheres ...
This paper provides a qualitative review of different object recognition techniques relevant for nea...
Ückermann A, Haschke R, Ritter H. Real-Time 3D Segmentation of Cluttered Scenes for Robot Grasping. ...
Ückermann A, Elbrechter C, Haschke R, Ritter H. 3D Scene Segmentation for Autonomous Robot Grasping....
© 2019, The Author(s). Real-time grasp detection plays a key role in manipulation, and it is also a ...
Autonomous grasping is a key requisite for the autonomy of robots.However, grasping of unknown objec...
We integrate software components that allow ef- ficient and successful grasping of kitchenware objec...
In this paper, we present a novel grasp planning algorithm for unknown objects given a registered po...
A crucial problem in robotics is interacting with known or novel objects in unstructured environment...
Treball de Final de Màster Universitari Erasmus Mundus en Robòtica Avançada. Codi: SJD024. Curs acad...
We consider the problem of grasping novel objects, specifically ob-jects that are being seen for the...
This paper presents a method for robustly identifying the manipulability of objects in a scene based...
The work explained in this technical report is about evaluating some recent algorithms to grasp unf...
International audienceThis paper describes the development of a novel vision-based grasping system f...
Grasping objects is a task that humans do without major concerns. This results from learning and ob...
In this paper, enhancement to the novel grasp planning algorithm based on gripper workspace spheres ...
This paper provides a qualitative review of different object recognition techniques relevant for nea...
Ückermann A, Haschke R, Ritter H. Real-Time 3D Segmentation of Cluttered Scenes for Robot Grasping. ...
Ückermann A, Elbrechter C, Haschke R, Ritter H. 3D Scene Segmentation for Autonomous Robot Grasping....
© 2019, The Author(s). Real-time grasp detection plays a key role in manipulation, and it is also a ...
Autonomous grasping is a key requisite for the autonomy of robots.However, grasping of unknown objec...
We integrate software components that allow ef- ficient and successful grasping of kitchenware objec...
In this paper, we present a novel grasp planning algorithm for unknown objects given a registered po...
A crucial problem in robotics is interacting with known or novel objects in unstructured environment...
Treball de Final de Màster Universitari Erasmus Mundus en Robòtica Avançada. Codi: SJD024. Curs acad...
We consider the problem of grasping novel objects, specifically ob-jects that are being seen for the...
This paper presents a method for robustly identifying the manipulability of objects in a scene based...