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Title: Vision-based motion imitation in robots
Authors: Kazmi, Abbas.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2011
Abstract: In this new age, robots are able to perform complex tasks in structured worlds by the implementation of sophisticated software systems and the control of skilled human operators or programmers. However, this has obvious limitations such as the high complexity of the programming involved. A possible solution to that is for social robots to learn new skills in human environments through Imitation Learning. This report characterizes the experience gained and the steps taken to carry out my Final Year Project at Institute for Infocomm Research, a company under A*STAR.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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