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^Übungsleitung^Andrei Haidu^ | ^Übungsleitung^Andrei Haidu^ | ||
^Sprache^Englisch & Deutsch^ | ^Sprache^Englisch & Deutsch^ | ||
- | ^Plenum^Freitag: | + | ^Plenum^Freitag: |
^Projektraum^ TAB 2.91^ | ^Projektraum^ TAB 2.91^ | ||
^Auftaktplenum^ 20.10.2016^ \\ | ^Auftaktplenum^ 20.10.2016^ \\ | ||
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+ | ===== Description ===== | ||
+ | In order for future robots to successfully accomplish more and more complex manipulation tasks, they are required to be action-aware and possess naive physics reasoning capabilities. They need to possess a model regarding how the effects of their actions depend on the way they are executed. For example, a robot making pancakes should have an understanding that pouring the pancake-mix on the oven depends on the position and the way the container is held, or that sliding a spatula under a pancake may or may not damage it depending on the angle and the dynamics of the push. | ||
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+ | This required knowledge cannot be easily expressed and formalized in knowledge bases and knowledge representation languages. Therefore we ask video game players to perform such actions in simulation-based virtual reality environments and acquire such knowledge from the logfiles of the game episodes. | ||
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+ | ===== Contact ===== | ||
+ | [[http:// | ||
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Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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