NDLI: Genetic Algorithms based method for time optimization in robotized site

Content Provider	IEEE Xplore Digital Library
Author	Baizid, K. Chellali, R. Yousnadj, A. Meddahi, A. Bentaleb, T.
Copyright Year	2010
Description	Author affiliation: Italian Institute of Technology (IIT), Via Morego 30, 16163 Genova, Italy (Chellali, R.; Meddahi, A.) \|\| Mechanical Laboratory of Structures, department, Polytechnics Military School, Algiers, Algeria (Yousnadj, A.) \|\| Italian Institute of Technology (IIT) & The University of Genova, Via Morego 30, 16163, Italy (Baizid, K.; Bentaleb, T.)
Abstract	Industrial implementation of robots is to perform the assigned tasks in the minimum possible time in the cycle comes up to increase productivity and reduce the cost. The cycle time is strongly linked to the robot trajectory cycle to the task. However, the optimization of the robot trajectory cycle the robot visited a set of points which represent the robotics task. Similar to persons in traveling the robot execute the task into shorter time if has a shorter path. However the trajectory cycle of the robot is strongly related to the displacement in coordinate space rather than operational space. In fact, the shorter distance between two task points is the shorter distance between two configurations. Since robot has different configurations in each task point the minimum trajectory should be chosen between each successive configuration. However the order of visiting the task point also affects the trajectory distance. Moreover the relative robot position to the task also has a trivial effect on the task time. In this work we develop a method to optimize the order of visiting the task point taking into consideration the robot configuration and the placement of the robot in the robotized site. Mainly, this method is based on Genetic Algorithms and it takes into consideration the multiplicity solutions of the robot Inverse Kinematics Model (IKM), the task point visit order and the placement of robot at the same time.
Starting Page	1359
Ending Page	1364
File Size	1100869
Page Count	6
File Format	PDF
ISBN	9781424466740
ISSN	21530866
e-ISBN	9781424466764
DOI	10.1109/IROS.2010.5651948
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-18
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robot kinematics Optimization Biological cells Joints Service robots Trajectory
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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