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| teaching:gsoc2018 [2018/01/22 09:37] – [RobCoG - **Rob**ot **Co**mmonsense **G**ames] ahaidu | teaching:gsoc2018 [2018/01/22 09:49] – [RobCoG - Robot Commonsense Games] ahaidu |
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| ===== RobCoG - Robot Commonsense Games ===== | ===== RobCoG - Robot Commonsense Games ===== |
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| [[http://robcog.org/|RobCoG]](**Rob**ot **Co**mmonsense **G**ames) is a framework consisting of various open source games and plugins written in the Unreal Engine with the intention of collecting and equipping robots with commonsense and naive physics knowledge. | [[http://robcog.org/|RobCoG]] (**Rob**ot **Co**mmonsense **G**ames) is a framework consisting of various open source games and plugins (https://github.com/robcog-iai) written in the Unreal Engine with the intention of collecting and equipping robots with commonsense and naive physics knowledge. Various Game prototypes are created where users are asked to execute kitchen related tasks. During gameplay developed game plugins automatically collecting symbolic and sub-symbolic data. The automatically annotated data is then stored in the web-based knowledge service [[http://www.open-ease.org/|openEASE]]. This allows robots to access it and reason about it. |
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| | The games are split into two categories: (1) VR/Full Body Tracking with physics based interactions, where data as close as possible to reality is collected. The users are immersed in a virtual environment and are asked to perform tasks using natural movements. (2) FPS style, web-based games, where the users interact with objects using a keyboard and mouse. This allows for easy crowdsourcing capabilities since these games could be run from a browser (open-ease.org/robcogweb). The data will be less precise for more low level learning, however still valuable at a more higher level (e.g. positioning of objects, the order of executing actions etc.). |
| ===== Proposed Topics ===== | ===== Proposed Topics ===== |
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