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contributor authorH. Qiao
date accessioned2017-05-09T00:08:04Z
date available2017-05-09T00:08:04Z
date copyrightMay, 2002
date issued2002
identifier issn1087-1357
identifier otherJMSEFK-27568#341_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/127117
description abstractThe general purpose of sensors is to obtain information on the system. However, in many cases, sensors cannot provide all the information on the system being controlled. On the other hand, the controller system does not need all the information in the process to guide the system into the goal, which provides the opportunity of utilizing simple sensors and then reducing the operational cost and time. The key point is that the information needed from the strategy should match the information which can be provided from the sensory signal. The difficulty left is due to the dependence between the sensor selection and strategy investigation. In other words, the two issues, (a) how to select the sensors and (b) how to form the commanded action, depend on each other. Benefited from the pre-image concept proposed by Lozano-Perez, Mason and Taylor1 and the attractive region concept proposed in the author’s previous work (2000), a logical method to design the pre-image of the goal is presented in this paper. Then the requirement of sensory feedback and the design of commanded action are given. Within this principle, the strategies in the robotic assembly with force sensors are investigated and applied in experiments in the present paper. It should be noted that the robotic assembly plays an important role in manufacturing automation. Also the assembly strategy presented here can be used with any machine.
publisherThe American Society of Mechanical Engineers (ASME)
titleThe Combination of Attractive Regions and Pre-images in Motion Planning
typeJournal Paper
journal volume124
journal issue2
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.1406952
journal fristpage341
journal lastpage350
identifier eissn1528-8935
treeJournal of Manufacturing Science and Engineering:;2002:;volume( 124 ):;issue: 002
contenttypeFulltext


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