2026-09-20T09:32:15Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/24151 2023-07-10 col_2142_8888 col_2142_5131 com_2142_8887 com_2142_234 com_2142_5130

Levinson, Stephen E. Niehaus, Logan 2011-05-25T14:57:30Z 2011-05-25T14:57:30Z 2011-05-25T14:57:30Z 2011-05 For creation of an artificial agent that is capable of using language naturally, models that only manipulate symbols or classify speech are ineffective. The semantic information which language conveys must be grounded in the agent’s complete sensorimotor experience. Typically, patterns from visual, auditory, and proprioceptive data streams which share the same conceptual cause are fused together in an associative memory at the core of the language model. Coupling of motor and auditory modalities, which is crucial for a large part of semantic understanding, presents a particularly difficult challenge. Words and actions both need models capable of capturing spatial and temporal structure, and training algorithms that can learn in a self-organizing, incremental fashion. Presented is a method for online learning of word and action lexicons based on the hidden Markov model. The model is then evaluated through action-word learning experiments implemented on a humanoid robot. Item withdrawn by Alexis Thompson (athmpsn1@illinois.edu) on 2011-04-20T16:43:06Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Niehaus_Logan.pdf: 524344 bytes, checksum: 9adf093333813feeec5af3a3e62d6825 (MD5) Made available in DSpace on 2011-05-25T14:57:30Z (GMT). No. of bitstreams: 2 Niehaus_Logan.pdf: 524344 bytes, checksum: 9adf093333813feeec5af3a3e62d6825 (MD5) license.txt: 4063 bytes, checksum: 39c57c560d58729358f7f479d7a8b7bf (MD5) http://hdl.handle.net/2142/24151 en Copyright 2011 Logan Niehaus language acquisition autonomous mental development cognitive robotics embodied cognition Autonomous learning of action-word semantics in a humanoid robot Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS