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Created menu pages, updated images in home page
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--- | ||
title: "Competitor's Arena" | ||
date: 2023-04-02T14:33:42-04:00 | ||
subtitle: "" | ||
tags: ["Competition"] | ||
dropCap: true | ||
displayInMenu: false | ||
displayInList: true | ||
draft: false | ||
--- | ||
|
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RoboCup is an annual international robotics competition with the aim to promote robotics and AI research by offering a publicly appealing challenge. | ||
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<div class="hidde-after-preview"> | ||
<a class="btn btn-primary" disabled target="_blank">Run Code</a> | ||
<a class="btn btn-success" disabled target="_blank">Experimental Data</a> | ||
<a class="btn btn-success" disabled target="_blank">Source Code</a> | ||
<a class="btn btn-success" disabled target="_blank">Assets</a> | ||
</div> | ||
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<!--more--> | ||
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Interactive Actions and/or Examples | ||
--- | ||
|
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<div> | ||
<a class="btn btn-primary" disabled target="_blank">Run Code</a> | ||
<a class="btn btn-success" disabled target="_blank">Experimental Data</a> | ||
<a class="btn btn-success" disabled target="_blank">Source Code</a> | ||
<a class="btn btn-success" disabled target="_blank">Assets</a> | ||
</div> | ||
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</br> |
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content/page/comingsoon/Innovator's Workbench for Laboratory Environment/buttons.json
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{ | ||
"options": { | ||
"environments": [ | ||
{ | ||
"name": "Laboratory Table", | ||
"value": "lab_table", | ||
"img": "https://iris.informatik.uni-bremen.de/textbook/content/medical_lab.png" | ||
} | ||
], | ||
"robots": [ | ||
{ | ||
"name": "Tracebot", | ||
"value": "tracebot", | ||
"img": "https://intel4coro.github.io/coai-vib/img/tracebot_urdf_white1.png" | ||
} | ||
] | ||
}, | ||
"actions": [ | ||
{ | ||
"name": "Run Code", | ||
"value": "run", | ||
"primary": true, | ||
"url": "", | ||
"options": [ | ||
"environments", | ||
"robots" | ||
], | ||
"available": null | ||
}, | ||
{ | ||
"name": "Experimental Data", | ||
"value": "openease", | ||
"url": "" | ||
}, | ||
{ | ||
"name": "Source Code", | ||
"value": "source", | ||
"url": "" | ||
}, | ||
{ | ||
"name": "Assets", | ||
"value": "assets", | ||
"url": "" | ||
} | ||
] | ||
} |
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content/page/comingsoon/Innovator's Workbench for Laboratory Environment/index.md
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--- | ||
title: "Innovator's Workbench for Laboratory Environment" | ||
date: 2023-05-02T14:33:42-04:00 | ||
subtitle: "" | ||
tags: ["Innovation"] | ||
dropCap: false | ||
displayInMenu: false | ||
displayInList: true | ||
draft: false | ||
resources: | ||
- name: ActionButtons | ||
src: "buttons.json" | ||
--- | ||
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Robot Agents that assist in laboratories. | ||
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<param class="hidde-after-preview"> | ||
{{<action_form data="ActionButtons">}} | ||
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<!--more--> | ||
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Interactive Actions and/or Examples | ||
--- | ||
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{{<action_form data="ActionButtons">}} | ||
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</br> |
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...soon/Interactive Task Learning by Natural Instruction Methods/ITL_framework.png
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...ge/comingsoon/Interactive Task Learning by Natural Instruction Methods/index.md
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--- | ||
title: "Interactive Task Learning by Natural Instruction Methods" | ||
date: 2023-11-29T10:35:35-05:00 | ||
subtitle: "" | ||
tags: ["Research"] | ||
dropCap: false | ||
displayInMenu: false | ||
displayInList: true | ||
draft: false | ||
--- | ||
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This research project addresses the challenge of instructing a robot agent to learn novel tasks interactively, specifically in the household domain. The focus of this repository lies on the task of teaching the pouring task by using written instructions with PyCRAM. | ||
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For more information, you can | ||
<a class="btn btn-success" target="_blank" href="https://ease-crc.github.io/itl/"><b>visit the webpage</b></a> of Interactive Task Learning to get a better idea on how a robot can learn from different teaching methodologies. | ||
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<div class="hidde-after-preview"> | ||
<a class="btn btn-primary" target="_blank" href="https://binder.intel4coro.de/v2/gh/AbhijitVyas/pycram.git/binder?urlpath=lab%2Ftree%2Fexamples%2Fboostrapping_instructions.ipynb">Run code</a> | ||
<a class="btn btn-success" target="_blank" href="https://github.com/AbhijitVyas/pycram/tree/binder">Source Code</a> | ||
</div> | ||
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<!--more--> | ||
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![](ITL_framework.png) | ||
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Interactive Actions and/or Examples | ||
--- | ||
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<div> | ||
<a class="btn btn-primary" target="_blank" href="https://binder.intel4coro.de/v2/gh/AbhijitVyas/pycram.git/binder?urlpath=lab%2Ftree%2Fexamples%2Fboostrapping_instructions.ipynb">Run code</a> | ||
<a class="btn btn-success" target="_blank" href="https://github.com/AbhijitVyas/pycram/tree/binder">Source Code</a> | ||
</div> | ||
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Description | ||
--- | ||
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ITL is an emerging A.I. challenge, defined as “any process by which an agent improves its performance on | ||
some task through experience, when [that experience] consists of a series of sensing, effecting, and communicating interactions between (the agent), its world, and crucially other agents in the world(John Leird, Kevin A. Gluck).” An ITL setup is an apprentice-style learning approach where most aspects of the task can be explicitly taught by an instructor and the student can accumulate task-specific knowledge not only from interactions but also from past experiences to solve the novel task execution problem. We investigate the predominant natural interaction methods employed by humans to instruct each other, which include bootstrap task-specific instruction (”telling what to do”) and demonstration (”showing how to do it”). | ||
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Example Videos | ||
--- | ||
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- #### VR Human task demonstrations | ||
<figure class="video_container"> | ||
<iframe width="560" height="315" src="https://www.youtube.com/embed/Mp1-zXbcQ30?si=pYNNbpc6skGSYK_G" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe> | ||
</figure> | ||
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- #### VR Human task demonstrations as NEEM | ||
<figure class="video_container"> | ||
<iframe width="560" height="315" src="https://www.youtube.com/embed/GN5zkOYKxbY?si=UJi-87eeLVEfATo8" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe> | ||
</figure> | ||
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- #### PR2 Pouring task demonstrations with PyCRAM | ||
<figure class="video_container"> | ||
<iframe width="560" height="315" src="https://www.youtube.com/embed/ofqdy3h2i24?si=Dm4L7n4x11zZxzTs" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe> | ||
</figure> | ||
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[comment]: <> (without this comment hugo fails) | ||
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<div class="main-well-flex-container"> | ||
<div class="left-main-well-flex"> | ||
<p>In our innovative Virtual Research and Training Building (ViB) we aim at providing convenient open access to our research infrastructure for cooperative and cognition-enabled robotics and AI through our ViB.</br></br>Researchers worldwide can access the ViB to conduct research in virtual labs with digital twin robots and their control software, and household and retail experimental environments, as well as virtual knowledge labs and everyday activity labs.</p> | ||
</div> | ||
</div> | ||
<!-- <div class="right-main-well-flex"> | ||
<img class="timer-change-image" data-wait="5000" data-imgs='[{"src":"img/popcorn_making.jpg"},{"src":"img/pot_grasping.jpg"},{"src":"img/learning_from_videos.jpg"},{"src":"img/picking_up_actions.jpg"}]'> | ||
</div> --> | ||
|
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--- | ||
title: "euROBIN Demo" | ||
date: 2023-11-28T14:33:42-04:00 | ||
subtitle: "" | ||
tags: ["Research"] | ||
dropCap: false | ||
displayInMenu: false | ||
displayInList: true | ||
draft: false | ||
resources: | ||
- name: ActionButtons | ||
src: "buttons.json" | ||
params: | ||
height: 200px | ||
--- | ||
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TIAGo robot in the IAI Bremen apartment laboratory. | ||
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<div class="hidde-after-preview"> | ||
<a class="btn btn-primary" target="_blank" href="https://binder.intel4coro.de/v2/gh/Multiverse-Framework/Multiverse-Docker.git/main?urlpath=lab%2Ftree%2Ftestbed_demo.jupyterlab-workspace">Run Code</a> | ||
<a class="btn btn-success" target="_blank" href="https://github.com/Multiverse-Framework/Multiverse">Source Code</a> | ||
</div> | ||
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||
<!--more--> | ||
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||
|
||
Interactive Actions and/or Examples | ||
--- | ||
|
||
<div> | ||
<a class="btn btn-primary" target="_blank" href="https://binder.intel4coro.de/v2/gh/Multiverse-Framework/Multiverse-Docker.git/main?urlpath=lab%2Ftree%2Ftestbed_demo.jupyterlab-workspace">Run Code</a> | ||
<a class="btn btn-success" target="_blank" href="https://github.com/Multiverse-Framework/Multiverse">Source Code</a> | ||
</div> | ||
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</br> |
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--- | ||
title: Contact | ||
comments: false | ||
--- | ||
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{{<contact_data>}} |
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{ | ||
"options": { | ||
"environments": [ | ||
{ | ||
"name": "Kitchen", | ||
"value": "kitchen", | ||
"img": "https://intel4coro.github.io/coai-vib/img/household.png", | ||
"knowledge_bases": "https://data.open-ease.org/QA?neem_id=64ccc8bc24cdd341ebdb2aa3&q=findall([Duration%2C Evt]%2C ( event_interval(Evt%2C Begin%2C End)%2C number(End)%2C Duration is End - Begin )%2C Durations)%2C max_member([MaxDuration%2C LongestEvt]%2C Durations)." | ||
} | ||
], | ||
"robots": [ | ||
{ | ||
"name": "PR2", | ||
"value": "pr2", | ||
"img": "https://intel4coro.github.io/coai-vib/img/pr2_urdf_white1.png", | ||
"knowledge_bases": "https://data.open-ease.org/QA?neem_id=6526790ced1a1bfc415a1d38&q=findall%28%5BDuration%2C%20Evt%5D%2C%0A%20%20%28%20%20event_interval%28Evt%2C%20Begin%2C%20End%29%2C%0A%20%20%20%20%20number%28End%29%2C%0A%20%20%20%20%20Duration%20is%20End%20-%20Begin%0A%20%20%29%2C%0A%20%20Durations%29%2C%0Amax_member%28%5BMaxDuration%2C%20LongestEvt%5D%2C%20Durations%29" | ||
} | ||
], | ||
"tasks": [ | ||
{ | ||
"name": "Cutting: Technique halving", | ||
"value": "halving" | ||
} | ||
] | ||
}, | ||
"actions": [ | ||
{ | ||
"name": "Run Code", | ||
"value": "run", | ||
"description": "Run code on Binderhub.", | ||
"primary": true, | ||
"url": "https://binder.intel4coro.de/v2/gh/IntEL4CoRo/COAI/master?urlpath=lab%2Ftree%2Fnotebooks%2F", | ||
"options": [ | ||
"environments", | ||
"robots", | ||
"tasks" | ||
], | ||
"available": { | ||
"environments=apartment|robots=pr2|tasks=chopping": "https://binder.intel4coro.de/v2/gh/sunava/pycram/6083d5a6c005a862a56bf60deefc13a615f89121?urlpath=lab%2Ftree%2Fdemos%2Fpycram_cutting_demo%2Fcutting-example.ipynb", | ||
"environments=apartment|robots=pr2|tasks=halving": "https://binder.intel4coro.de/v2/gh/sunava/pycram/6083d5a6c005a862a56bf60deefc13a615f89121?urlpath=lab%2Ftree%2Fdemos%2Fpycram_cutting_demo%2Fcutting-example.ipynb", | ||
"environments=kitchen|robots=pr2|tasks=halving": "https://binder.intel4coro.de/v2/gh/sunava/pycram/6083d5a6c005a862a56bf60deefc13a615f89121?urlpath=lab%2Ftree%2Fdemos%2Fpycram_cutting_demo%2Fcutting-example.ipynb", | ||
"environments=kitchen|robots=pr2|tasks=chopping": "https://binder.intel4coro.de/v2/gh/sunava/pycram/6083d5a6c005a862a56bf60deefc13a615f89121?urlpath=lab%2Ftree%2Fdemos%2Fpycram_cutting_demo%2Fcutting-example.ipynb" | ||
} | ||
}, | ||
{ | ||
"name": "Inspect Knowledge Graph", | ||
"value": "openease", | ||
"description": "OpenEASE", | ||
"url": "href=\"https://binder.intel4coro.de/v2/gh/Food-Ninja/FoodCutting.git/HEAD?urlpath=notebooks%2Fnotebooks%2FFoodCuttingQueries.ipynb", | ||
"options": [ | ||
"environments", | ||
"robots", | ||
"tasks" | ||
], | ||
"available": { | ||
"environments=apartment|robots=pr2|tasks=chopping": "https://binder.intel4coro.de/v2/gh/Food-Ninja/FoodCutting.git/HEAD?urlpath=notebooks%2f Notebooks%2F Food Cutting Queries.ipynb", | ||
"environments=apartment|robots=pr2|tasks=halving": "https://binder.intel4coro.de/v2/gh/Food-Ninja/FoodCutting.git/HEAD?urlpath=notebooks%2f Notebooks%2F Food Cutting Queries.ipynb", | ||
"environments=kitchen|robots=pr2|tasks=halving": "https://binder.intel4coro.de/v2/gh/Food-Ninja/FoodCutting.git/HEAD?urlpath=notebooks%2f Notebooks%2F Food Cutting Queries.ipynb", | ||
"environments=kitchen|robots=pr2|tasks=chopping": "https://binder.intel4coro.de/v2/gh/Food-Ninja/FoodCutting.git/HEAD?urlpath=notebooks%2f Notebooks%2F Food Cutting Queries.ipynb" | ||
} | ||
}, | ||
{ | ||
"name": "Assets", | ||
"value": "assets", | ||
"url": "https://coai-jrc.de/virtual-building/" | ||
} | ||
] | ||
} |
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--- | ||
title: "Food Cutting Robots" | ||
date: 2023-11-30T14:33:42-04:00 | ||
subtitle: "" | ||
tags: ["Research"] | ||
dropCap: false | ||
displayInMenu: false | ||
displayInList: true | ||
draft: false | ||
resources: | ||
- name: ActionButtons | ||
src: "buttons.json" | ||
--- | ||
|
||
In this research lab you can join our research activity targeting robots learning abstract knowledge into comprehensive knowledge graphs, and making the knowledge "activable" in robot agents. | ||
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<param class="hidde-after-preview"> | ||
{{<action_forms data="ActionButtons">}} | ||
|
||
<!--more--> | ||
|
||
|
||
Interactive Actions and/or Examples | ||
--- | ||
|
||
{{<action_forms data="ActionButtons">}} | ||
|
||
</br> |
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