Publisher
The University of Arizona.Rights
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.Abstract
The Adaptive Robot Gripper (ARG) project has the purpose of designing and producing a prototype of a universal gripper for Unilever production lines. This device is meant to have extended capability beyond their current industrial robot grippers and will provide the ability to pick up products of various shapes, sizes, and weights as well as have capability to pick up products with differing package rigidity without damage to the packaging. The ARG will be comprised of a camera system, a gripper, and emulation software. The camera system will identify the location of the product while the size and shape of the recognized item will be retrieved from stored data in the Raspberry Pi. This information will be sent to the arm and gripper so that the product will be handled carefully. The included emulation software will simulate the industrial robot arm and gripper in the manufacturing environment. The virtual simulation of the arm will show how the robot arm would respond to the location of products on a conveyer belt and show how it would orientate itself to pick up and drop each Unilever Product. This adaptability of the system will be used in the manufacturing line to increase efficiency as the lines no longer will need to stop for grip changes. This final report walks through all the aspects of project, documents all subsystems, and clearly states the data from testing.Type
Electronic Thesistext
Degree Name
B.S.E.Degree Level
bachelorsDegree Program
Electrical and Computer EngineeringHonors College
