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team:daniel_nyga [2017/06/16 08:28] – [About] nyga | team:daniel_nyga [2017/06/16 11:46] – [Projects] nyga | ||
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====Dissertation==== | ====Dissertation==== | ||
- | [[http:// | + | [[http:// |
has been one of the ultimate long-standing goals in both Artificial | has been one of the ultimate long-standing goals in both Artificial | ||
Intelligence and Robotics research. In near-future applications, | Intelligence and Robotics research. In near-future applications, | ||
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vagueness and ambiguity in natural language and infer missing | vagueness and ambiguity in natural language and infer missing | ||
information pieces that are required to render an instruction | information pieces that are required to render an instruction | ||
- | executable by a robot. To this end, \prac formulates the problem of | + | executable by a robot. To this end, PRAC formulates the problem of |
instruction interpretation as a reasoning problem in first-order | instruction interpretation as a reasoning problem in first-order | ||
probabilistic knowledge bases. In particular, the system uses Markov | probabilistic knowledge bases. In particular, the system uses Markov | ||
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He is the lead developer in the projects [[http:// | He is the lead developer in the projects [[http:// | ||
- | His GitHub profile can be found [[http:// | + | His GitHub profile can be found [[http:// |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
Discover our VRB for innovative and interactive research
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