Visual and gesture guided robotic block stacking

Authors
Macias, Nathanael James
ORCID
Loading...
Thumbnail Image
Other Contributors
Wen, John T.
Radke, Richard J., 1974-
Trinkle, Jeffrey C.
Issue Date
2013-12
Keywords
Electrical engineering
Degree
MS
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
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
Department
Dept. of Electrical, Computer, and Systems Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
Restricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.