Visual and gesture guided robotic block stacking
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Authors
Macias, Nathanael James
Issue Date
2013-12
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Electrical engineering
Alternative Title
Abstract
Industrial robots are precise and efficient at performing repetitive tasks. Robots in industry have led to the complete automation of tasks that would normally be considered too hazardous, strenuous, or tedious for humans to perform. However, robots do not have the innate ability to recognize and manipulate objects they rely on human operators to translate the desired task into a set of operations it can perform. Object recognition and manipulation are intuitive for humans, but are still difficult problems for robots. For example, bin-picking has long been a research area in the field of robotics that aims to provide robots with the ability to manipulate randomly ordered objects in unstructured environments.
Description
December 2013
School of Engineering
School of Engineering
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY