Modeling of the Natural Product Deboning Process Using Biological and Human Models

Daley, Wayne; He, Tian; Lee, Kok-Meng; Sandlin, Melissa

Title:

Modeling of the Natural Product Deboning Process Using Biological and Human Models

dc.contributor.author	Daley, Wayne
dc.contributor.author	He, Tian
dc.contributor.author	Lee, Kok-Meng
dc.contributor.author	Sandlin, Melissa
dc.contributor.corporatename	Georgia Institute of Technology. Center for Robotics and Intelligent Machines
dc.contributor.corporatename	Georgia Institute of Technology. School of Mechanical Engineering
dc.contributor.corporatename	Georgia Tech Research Institute
dc.date.accessioned	2011-11-02T14:44:00Z
dc.date.available	2011-11-02T14:44:00Z
dc.date.issued	1999-09
dc.description	©1999 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.	en_US
dc.description	Presented at the 1999 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 1999), 19-23 September 1999, Atlanta, GA.
dc.description	DOI: 10.1109/AIM.1999.803141
dc.description.abstract	One critical area in automation for commercial deboning systems for meat processing, is the inability of existing equipment to adapt to varying sizes and shapes of products. This usually results in less than desirable outcomes when measured in terms of yield of the operations. In poultry processing for example, the initial cut of wing-shoulder joints is the most critical step in the deboning process. Two approaches for determining a trajectory for the cut is presented. The first is a technique using x-ray and visual images to obtain a 2-D model that locates the shoulder joint with respect to the surface features of the product. The second approach is obtained by determining a 3-D cutting trajectory and the associated forces/torques using a motion analysis system and a force/torque sensor incorporated with a knife. We then discuss the potential application of these results in the design of an automated cutting system that uses the obtained trajectory as a nominal cutting path. The system would make'adjustments during the cut using force feedback so as to emulate the manual cutting process.	en_US
dc.identifier.citation	Daley, W., He, T., Lee, K.M., Sandlin, M. (1999). "Modeling of the Natural Product Deboning Process Using Biological and Human Models". Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 1999), 19-23 September 1999, pp.49-54.	en_US
dc.identifier.uri	http://hdl.handle.net/1853/41952
dc.language.iso	en_US	en_US
dc.publisher	Georgia Institute of Technology	en_US
dc.publisher.original	Institute of Electrical and Electronics Engineers
dc.subject	Automation	en_US
dc.subject	Deboning	en_US
dc.subject	Human performance emulation	en_US
dc.subject	Machine vision	en_US
dc.subject	Motion tracking	en_US
dc.subject	Natural product cutting	en_US
dc.title	Modeling of the Natural Product Deboning Process Using Biological and Human Models	en_US
dc.type	Text
dc.type.genre	Paper
dc.type.genre	Proceedings
dspace.entity.type	Publication
local.contributor.author	Lee, Kok-Meng
local.contributor.corporatename	Georgia Tech Research Institute (GTRI)
local.contributor.corporatename	Institute for Robotics and Intelligent Machines (IRIM)
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