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Master thesis - Modelling of object grasping with neural networks in the iCub humanoid robot simulator

Image processing used in our work. March 8, 2012. A lot of information which is used in our reach or grasp models is visual. Or, can be extracted from visual information (like distance, position, size, orientation, etc.). In the last weeks, we add image processing module built upon OpenCV library to our project and we use several OpenCV functions to process iCub’s camera image to compute target object size and orientation. Take a look on images that describes the image processing:. November 16, 2011.

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Master thesis - Modelling of object grasping with neural networks in the iCub humanoid robot simulator | masterthesis.zdechovan.com Reviews

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Image processing used in our work. March 8, 2012. A lot of information which is used in our reach or grasp models is visual. Or, can be extracted from visual information (like distance, position, size, orientation, etc.). In the last weeks, we add image processing module built upon OpenCV library to our project and we use several OpenCV functions to process iCub’s camera image to compute target object size and orientation. Take a look on images that describes the image processing:. November 16, 2011.

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thesis goal,presentations,gallery,admin,tagged with c,bull; icub,bull; opencv,tagged with icub,tagged with cacla,bull; grasping,and opengl,reaching,episodes and test,episodes,and fine tuning,the initial state,reward function,grasping,icub learns grasping

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Master thesis - Modelling of object grasping with neural networks in the iCub humanoid robot simulator | masterthesis.zdechovan.com Reviews

https://masterthesis.zdechovan.com

Image processing used in our work. March 8, 2012. A lot of information which is used in our reach or grasp models is visual. Or, can be extracted from visual information (like distance, position, size, orientation, etc.). In the last weeks, we add image processing module built upon OpenCV library to our project and we use several OpenCV functions to process iCub’s camera image to compute target object size and orientation. Take a look on images that describes the image processing:. November 16, 2011.

INTERNAL PAGES

masterthesis.zdechovan.com

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ICub | Master thesis - Modelling of object grasping with neural networks in the iCub humanoid robot simulator

http://masterthesis.zdechovan.com/tag/icub

Currently viewing the tag: "iCub". Image processing used in our work. March 8, 2012. A lot of information which is used in our reach or grasp models is visual. Or, can be extracted from visual information (like distance, position, size, orientation, etc.). In the last weeks, we add image processing module built upon OpenCV library to our project and we use several OpenCV functions to process iCub’s camera image [.]. Additional information from the iCub Simulator. November 16, 2011. October 26, 2011.

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Grasping | Master thesis - Modelling of object grasping with neural networks in the iCub humanoid robot simulator

http://masterthesis.zdechovan.com/tag/grasping

Currently viewing the tag: "grasping". ICub learns how to grasp objects. October 26, 2011. Today I implemented simple algorithm to lift object when iCub successfully grasps it. While iCub was learning (online learning of Grasping CACLA), I took this very nice screenshot of sucessful grasp and lift of the grasped object. Video – iCub learns grasping (after 200-300 learning epizodes). Reaching & Grasping experiments with iCub. October 19, 2011. Hand terminology & Grasping model. April 17, 2011. Master thes...

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Gallery | Master thesis - Modelling of object grasping with neural networks in the iCub humanoid robot simulator

http://masterthesis.zdechovan.com/gallery

ICub looking at a man. ICub observing an object. Screenshot of the iCub Simulator. ICub touching a ball. Strange “grasp”. Leave a Reply Cancel reply. Your email address will not be published. Required fields are marked *. You may use these. A href= title= abbr title= acronym title= b blockquote cite= cite code del datetime= em i q cite= strike strong. If you enjoyed this article, please consider sharing it! Master thesis of Lukáš Zdechovan. A master degree student of Applied Informatics.

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AI Theory | Master thesis - Modelling of object grasping with neural networks in the iCub humanoid robot simulator

http://masterthesis.zdechovan.com/category/ai-theory

Currently viewing the category: "AI Theory". November 15, 2010. BPTT, RL, iCub, YARP, inverse kinematics problem what does it all mean? The aim of this article is to introduce you what these acronyms and abbreviations stands for. Note: This post is not complete yet and will be updated later. Back-propagation through time … Reinforcement learning Literature Peters J, Vijayakumar S, Schaal S (2003), RL [.]. Master thesis of Lukáš Zdechovan. A master degree student of Applied Informatics.

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iCub simulator objects weight | Master thesis - Modelling of object grasping with neural networks in the iCub humanoid robot simulator

http://masterthesis.zdechovan.com/icub-simulator-objects-weight

Reaching & Grasping experiments with iCub. ICub learns how to grasp objects. ICub simulator objects weight. October 19, 2011. ICub simulator is built on Open Dynamics Engine ( ODE. We found out, that in the simulator, all objects have very small weight and we cannot set the weight or density of the objects. While in our work we expect iCub to grasp objects with different weights, we need to overcome this problem. Which is set to 1.0. I hope it might work, if I modify world.cpp. August 24, 2014 at 2:20.

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school.zdechovan.com

UML | Školské projekty

http://school.zdechovan.com/tag/uml

Lukáš Zdechovan – projekty na VŠ. V 3 etape analýzy AIS sme pracovali na modeli tried. Ako programátorom nám tento typ modelovanie je najbližší a veríme, že sa to prejaví v kvalite nášho modelu. Výstupom je PDF dokument. A interaktívny model tried. Objektová analýza a modelovanie. Prác na projekte z OOAM sme vytvorili model prípadov použitia. Výstupom je PDF dokument Model prípadov použitia. Objektová analýza a modelovanie. Objektová analýza a modelovanie. Hrdo poháňané cez WordPress.

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Neural Networks for Reinforcement LearningNeural Networks

http://ai4trade.com/GeneticAlgorithmsInForex/neural-networks-for-reinforcement-learning

Genetic Algorithms In Forex (503). Nn In Forex (177). Nn In Currency Market (78). Rsaquo; Genetic Algorithms In Forex. Neural Networks for Reinforcement Learning. Stanford Reinforcement Learning lectures. May 14, 2015 04:52 am. On 22th of December I watched videos of Machine learning lectures focused on Reinforcement Learning. Lectuer: Associate Professor Andrew Ng, Stanford University. See other Andrew Ng’s Machine Learning courses. You might also like:. Monday prosper reading material. 1 This loan wi...

school.zdechovan.com

Prípady použitia AIS | Školské projekty

http://school.zdechovan.com/pripady-pouzitia-ais

Lukáš Zdechovan – projekty na VŠ. Predpovedanie vývoja akciových trhov. Doménový model AIS →. Prác na projekte z OOAM sme vytvorili model prípadov použitia. Výstupom je PDF dokument Model prípadov použitia. Zároveň sme zverejnili interaktívny model prípadov použitia v HTML, kde sú vyexportované aj scenáre, ktoré sa dajú zobraziť pri kliknutí na prípad použitia. Tento obsah bol zaradený v Objektová analýza a modelovanie. A označkovaný ako UML. Zálohujte si trvalý odkaz. Predpovedanie vývoja akciových trhov.

school.zdechovan.com

Model tried | Školské projekty

http://school.zdechovan.com/model-tried

Lukáš Zdechovan – projekty na VŠ. Inverse Kinematics on 2D Skeleton. Diagramy aktivít →. V 3 etape analýzy AIS sme pracovali na modeli tried. Ako programátorom nám tento typ modelovanie je najbližší a veríme, že sa to prejaví v kvalite nášho modelu. Výstupom je PDF dokument. A interaktívny model tried. Tento obsah bol zaradený v Objektová analýza a modelovanie. A označkovaný ako class model. Zálohujte si trvalý odkaz. Inverse Kinematics on 2D Skeleton. Diagramy aktivít →. Pridaj komentár Zrušiť odpoveď.

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use case model | Školské projekty

http://school.zdechovan.com/tag/use-case-model

Lukáš Zdechovan – projekty na VŠ. Archív značiek: use case model. Prác na projekte z OOAM sme vytvorili model prípadov použitia. Výstupom je PDF dokument Model prípadov použitia. Zároveň sme zverejnili interaktívny model prípadov použitia v HTML, kde sú vyexportované aj scenáre, ktoré sa dajú zobraziť pri kliknutí na prípad použitia. Objektová analýza a modelovanie. Objektová analýza a modelovanie. Hrdo poháňané cez WordPress.

school.zdechovan.com

Strojové učenie | Školské projekty

http://school.zdechovan.com/strojove-ucenie

Lukáš Zdechovan – projekty na VŠ. Detaily k projektu zo Strojového učenia nájdete v špeciálnej kategórii článkov Strojové učenie. Pridaj komentár Zrušiť odpoveď. Vaša e-mailová adresa nebude zverejnená. Vyžadované polia sú označené *. A href= title= abbr title= acronym title= b blockquote cite= cite code del datetime= em i q cite= strike strong. Objektová analýza a modelovanie. Hrdo poháňané cez WordPress.

school.zdechovan.com

class model | Školské projekty

http://school.zdechovan.com/tag/class-model

Lukáš Zdechovan – projekty na VŠ. Archív značiek: class model. V 3 etape analýzy AIS sme pracovali na modeli tried. Ako programátorom nám tento typ modelovanie je najbližší a veríme, že sa to prejaví v kvalite nášho modelu. Výstupom je PDF dokument. A interaktívny model tried. Objektová analýza a modelovanie. Objektová analýza a modelovanie. Hrdo poháňané cez WordPress.

school.zdechovan.com

Počítačová animácia | Školské projekty

http://school.zdechovan.com/pocitacova-animacia

Lukáš Zdechovan – projekty na VŠ. V zimnom semestri škol. roku 2011/2012 som ako projekt z predmetu Matematické modelovanie a počítačová animácia a fyzikálnych procesov. Implementoval jednoduchý model demonštrujúci Inverznú kinematiku. Scene: 2d line-segment skeleton of figure (min 15 bones). Implement 2d skeleton creation. User can create new bone by selecting parent bone (click on it) and clicking anywhere to defineend of bone. Bones can have more child bones. Pridaj komentár Zrušiť odpoveď.

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Master thesis - Modelling of object grasping with neural networks in the iCub humanoid robot simulator

Image processing used in our work. March 8, 2012. A lot of information which is used in our reach or grasp models is visual. Or, can be extracted from visual information (like distance, position, size, orientation, etc.). In the last weeks, we add image processing module built upon OpenCV library to our project and we use several OpenCV functions to process iCub’s camera image to compute target object size and orientation. Take a look on images that describes the image processing:. November 16, 2011.

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