Searched for: subject%3A%22Object%255C%2Bgrasping%22
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document
Zwinkels, Stan (author)
In household and retail store environments, humans efficiently identify grasp regions of an object to perform everyday tasks. To enable robots to understand the requirements of a task and the properties of an object, a novel grasp framework, called the Shape Primitive and Reasoning Grasping Engine (SPaRGE), is proposed in this thesis. SPaRGE...
master thesis 2023
document
Kortman, Jelle (author)
In the semiconductor industry, integrated circuits with nanometre scale structures are manufactured on silicon wafers. Particle contamination on the topside of the wafer can result in the defectivity of the entire die. In the ever-increasing efforts to create smaller structures onto a wafer particle contamination becomes more restrictive to...
master thesis 2023
document
Lei, Q. (author)
According to the report by the United Nations in 2015, the global population of older persons aged 60 years or over is predicted to grow to 1.4 billion by 2030. A rapidly aging population poses a challenging problem for human beings, i.e. supply shortage of working-age people. To solve this problem, increasing research efforts are poured into...
doctoral thesis 2018
document
Lei, Q. (author), Wisse, M. (author)
Grasping of unknown objects with neither appearance data nor object models given in advance is very important for robots that work in an unfamiliar environment. The goal of this paper is to quickly synthesize an executable grasp for one unknown object by using cylinder searching on a single point cloud. Specifically, a 3D camera is first used to...
conference paper 2017
document
Lei, Q. (author), Wisse, M. (author)
The current research trends of object grasping can be summarized as caging grasping and force closure grasping. The motivation of this paper is to combine the advantage of caging grasping and force closure grasping to enable under-actuated grippers like the Lacquey gripper and the parallel grippers like the PR2 gripper to quickly grasp the...
conference paper 2016
document
Lei, Q. (author), Wisse, M. (author)
Reducing the grasp candidates for unknown object grasping while maintaining grasp stability is the goal of this paper. In this paper, we propose an efficient and straight forward unknown object grasping method by using concavities of the unknown objects to significantly reduce the grasp candidates. Shortest path concavity is first employed to...
conference paper 2016
Searched for: subject%3A%22Object%255C%2Bgrasping%22
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