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| Author: | John Bensam, Christina |
| Title: | Visual Grasping Of Unknown Objects |
| Publication type: | Master's thesis |
| Publication year: | 2016 |
| Pages: | (10) + 41 Language: eng |
| Department/School: | Sähkötekniikan korkeakoulu |
| Main subject: | Space Robotics and Automation (AS3004) |
| Supervisor: | Kyrki, Ville |
| Instructor: | Pajarinen, Joni |
| Electronic version URL: | http://urn.fi/URN:NBN:fi:aalto-201611025263 |
| Location: | P1 Ark Aalto 4950 | Archive |
| Keywords: | experimental grasping comparison symmetry height accumulated features rectangle representation principal component analysis |
| Abstract (eng): | The objective of the thesis is to compare and study recent visual grasping techniques which are applied on a robotic arm for grasping of unknown objects in an indoor environment. The novelty of the thesis is that the study has led to questioning the general approach used by researchers to solve the grasping problem. The result can help future researchers in investing more on the problem areas of grasping techniques and can also lead us to question ourselves on the approach we are using to solve the grasping problem. |
| ED: | 2016-11-13 |
INSSI record number: 54789
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