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Combining analysis, imitation, and experience-based learning to acquire a concept of reachability in robot mobile manipulation.

, , , , , и . Humanoids, стр. 161-167. IEEE, (2009)

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Michael Beetz

Michael Beetz

Michael Beetz

Michael Beetz

Michael Beetz

 

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Deeper Understanding of Vague Instructions through Simulated Execution., , , , и . AAMAS, стр. 1694-1696. ACM, (2017)Reasoning about Unmodelled Concepts - Incorporating Class Taxonomies in Probabilistic Relational Models., и . CoRR, (2015)Towards Plan Transformations for Real-World Pick and Place Tasks., , и . CoRR, (2018)An overview of the KnowRob project: semantic knowledge for autonomous., и . UbiComp/ISWC Adjunct, стр. 921-922. ACM, (2015)Towards Comprehensive Computational Models for Plan-Based Control of Autonomous Robots.. Mechanizing Mathematical Reasoning, том 2605 из Lecture Notes in Computer Science, стр. 514-527. Springer, (2005)M-ROSE: A Multi Robot Simulation Environment for Learning Cooperative Behavior., , и . DARS, стр. 197-206. Springer, (2002)Learning to Shoot Goals Analysing the Learning Process and the Resulting Policies., и . RoboCup, том 4434 из Lecture Notes in Computer Science, стр. 371-378. Springer, (2006)Representations for robot knowledge in the KnowRob framework., и . Artif. Intell., (2017)Robot action plans that form and maintain expectations., и . IROS, стр. 5174-5180. IEEE, (2015)A unified representation for reasoning about robot actions, processes, and their effects on objects., и . IROS, стр. 1351-1358. IEEE, (2012)