Honors College Theses
Publication Date
2016
Major
Electrical Engineering (B.S.)
Release Option
Open Access
Faculty Mentor
Dr. Rocio Alba-Flores
Abstract
Adaptability is a key missing features that has impeded the growth of assistive robotics. In the traditional model, all actions must be explicitly coded by a skilled programmer familiar with the hardware. This project explores a method of teaching a webcam equipped arm type robot new primitive movement using visual demonstrations.
Copyright
This work is archived and distributed under the repository's Standard Copyright and Reuse License (opens in new tab). End users may copy, store, and distribute this work without restriction. For all other uses, permission must be obtained from the copyright owners or their authorized agents.
Recommended Citation
Holcomb, Nickolas S., "Machine Learning Through Mimicry and Association" (2016). Honors College Theses. 203.
https://digitalcommons.georgiasouthern.edu/honors-theses/203
